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width="492" height="209" /></p>
<p> </p>
<p> </p>
<p><strong><u>GRETA - Greening Regional Freight Transport in Fuas </u></strong></p>
<p>Il progetto “GRETA” ha lo scopo di cooperare per ottenere un’Europa centrale più sostenibile, creando una mobilità urbana più <em>green</em>. La realizzazione è guidata dalla Fondazione Istituto sui Trasporti e la Logistica.</p>
<p><strong><u>Obiettivo del progetto </u></strong></p>
<p>Riconoscendo il valore della cooperazione transnazionale, il progetto GRETA mira a superare le sfide legate alla sicurezza stradale, alla riduzione della qualità della vita, alla perdita di tempo e risorse con l'obiettivo di decarbonizzare la consegna dell'ultimo miglio nelle Aree Urbane Funzionali (FUA).</p>
<p>L’ultimo miglio di consegna è direttamente responsabile per l’impatto negativo, e a causa della crisi derivata dal Covid-19, la catena di approvvigionamento globale di distribuzione dei pacchi ha quasi raddoppiato il suo volume, generando ulteriori inefficienze nelle aree periferiche. Le FUA di GRETA hanno riconosciuto congiuntamente tre problemi principali legati alle consegne urbane che mettono a rischio l'ecologizzazione del settore e generano inquinamento, fastidio, rumore e congestione del traffico:</p>
<ul>
<li>mancanza di veicoli a zero emissioni (ZE);</li>
<li>conflitti tra veicoli adibiti al trasporto merci e veicoli passeggeri privati/pubblici, in particolare per quanto riguarda l'uso di spazi pubblici;</li>
<li>mancanza di conoscenze e strategie per un uso flessibile e condiviso dei marciapiedi e in generale dello spazio pubblico (ma anche privato).</li>
</ul>
<p>GRETA sostiene il percorso di transizione verso il trasporto dell’ultimo miglio innovativo, efficace, resiliente, sicuro e sostenibile. Perciò GRETA crea le condizioni per promuovere la logistica a zero emissioni attraverso l’introduzione di micro-hub, trasbordi, bici da carico, veicoli elettrici leggeri e strategie di gestione dei marciapiedi. Inoltre, grazie a una forte attività di sfruttamento, si concentra anche sulla preparazione di concetti innovativi come la logistica collaborativa regionale, Internet fisico e la gestione del marciapiede merci. Questi temi mirano a identificare approcci alternativi, collaborativi e condivisi per aiutare il settore pubblico e privato a e rispettare i 70 obiettivi del Green Deal dell’UE.</p>
<p>L’approccio è innovativo poiché GRETA creerà le condizioni e i modelli di business per dare sostenibilità finanziaria, ambientale e sociale alle soluzioni testate attraverso le sperimentazioni.</p>
<p>Le soluzioni avranno luogo nelle FUA di Maribor, Reggio Emilia, Verona, Poznan e Budapest, mentre la FUA di Berlino si è unita come osservatrice. </p>
<p><strong><u>Partners</u></strong></p>
<p>Fondazione Istituto sui Trasporti e la Logistica (Italia); Città di Reggio Emilia (Italia); Università di Maribor (Slovenia); Comune di Maribor (Slovenia); Lukasiewicz – Poznan Institute of Technology (Polonia); Città di Poznan (Polonia); ZAILOG SCARL (Italia); BKK Centre for Budapest Transport (Ungheria); Central European Initiative – Executive Secretariat (Italia); European Network of Logistics Competence Centres (Belgio); Technical University of Applied Sciences Wildau (Germania).</p>
<p><u> </u></p>
<p><strong><u>Durata</u></strong></p>
<p>36 mesi - da aprile 2023, a aprile 2026  </p>
<p> </p>
<p><a href="https://www.interreg-central.eu/projects/greta/">https://www.interreg-central.eu/projects/greta/</a></p>
<p> </p>
<p> </p>
<p><span style="font-size: 12pt;"><strong>ENGLISH VERSION</strong></span></p>
<p> </p>
<p><strong><u>GRETA - Greening Regional Freight Transport in Fuas </u></strong></p>
<p>The project “GRETA” aims at cooperating for a greener central Europe, creating greening urban mobility. It is lead by Institute for Transport and Logistics Foundation.</p>
<p><strong><u>Project</u> <u>Objective</u></strong></p>
<p>Recognizing the value of transnational cooperation, GRETA project aims to overcome the challenges related to road safety, reducing life’s quality and loss of time and resources with the objective to decarbonise the last mile delivery in Functional Urban Areas (FUAs).</p>
<p>Last mile delivery is directly responsible for negative impacts, and due to the Covid-19 crisis, the global supply chain of parcels distribution nearly doubled in volume, additionally generating inefficiencies in the peripheral areas. GRETA’s FUAs jointly recognised three main problems related to the urban deliveries which jeopardize the greening of the sector, and generate pollution, nuisance, noise and congestion:</p>
<p>1) lack of use of green zero emission (ZE) last mile vehicles;</p>
<p>2) conflicts between freight and private/public passenger vehicles, especially concerning the use of public spaces;</p>
<p>3) lack of knowledge and strategies for a flexible and shared use of the curb and in general of the public (but also private) space.</p>
<p>GRETA supports the transition path towards innovative, effective, resilient, safe and green last mile transport. In result, GRETA creates the conditions to promote ZE logistics through the use of micro-hubs, transhipment, cargo bikes, light e-vehicles and curb management strategies. Additionally, thanks to a strong exploitation activity, it also focuses on paving the way to innovative concepts such as regional collaborative logistics, physical internet and freight curb management. These topics aims to identify alternative collaborative and shared approaches to help the public and private sectors to comply with 70 the EU Green Deal targets.</p>
<p>The approach is innovative as GRETA will create the conditions and business models to give financial, environmental and social sustainability to the solutions tested through the pilot activities.</p>
<p>The solutions will take place in the FUAs of Maribor, Reggio Emilia, Verona, Poznan and Budapest, while Berlin FUA has joined as observer.</p>
<p><strong><u>Partners</u></strong></p>
<p>Institute for Transport and Logistics Foundation (Italy); City of Reggio Emilia (Italy); University of Maribor (Slovenia); Municipality of Maribor (Slovenia); Lukasiewicz – Poznan Institute of Technology (Poland); City of Poznan (Poland); ZAILOG SCARL (Italy); BKK Centre for Budapest Transport (Hungary); Central European Initiative – Executive Secretariat (Italy); European Network of Logistics Competence Centres (Belgium); Technical University of Applied Sciences Wildau (Germany).</p>
<p> </p>
<p><strong><u>Duration</u></strong></p>
<p>36 months - from April 2023, until April 2026  </p>
<p> </p>
<p><a href="https://www.interreg-central.eu/projects/greta/">https://www.interreg-central.eu/projects/greta/</a></p>
<p> </p>]]></description>
			<category>Progetti</category>
			<pubDate>Fri, 28 Jul 2023 08:55:57 +0000</pubDate>
		</item>
		<item>
			<title>NEWBRAIN PLUS</title>
			<link>https://www.zailog.it/index.php/progetti/93-newbrain-plus</link>
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" /></p>
<p><strong>NEWBRAIN PLUS</strong></p>
<p>Il progetto "NEWBRAIN PLUS” mira a rafforzare la capacità del trasporto integrato, dei servizi di mobilità e di multimodalità nell'area Adriatico-Ionica" ed è cofinanziato dal programma Interreg Adrion. Il progetto è guidato dall'Autorità portuale dell'Adriatico centrale.</p>
<p><strong> </strong></p>
<p><strong>Obiettivo del progetto</strong></p>
<p>NEWBRAIN PLUS è il progetto che fa seguito a NEWBRAIN e mira ad incrementare la consapevolezza tra gli stakeholders Macro-Regionali, Nazionali ed Europei nel campo della logistica e del trasporto riguardo l’importanza del ruolo delle autostrade del mare nella regione Adriatica-Ionica e la loro connessione alle infrastrutture trasportistiche terrestri per gli scambi di flussi di merce tra le coste del mar Adriatico-Ionico.</p>
<p>Il progetto si focalizza su diverse lacune infrastrutturali e tecnologiche e sui colli di bottiglia procedurali e organizzazionali individuati a livello locale e che impattano sull’uniformità del sistema regionale dei trasporti, adottando un approccio congiunto e transnazionale che mira a stimolare lo sviluppo coordinato dell’infrastruttura fisica e non fisica e all’aumento della capacità di lancio di investimenti mirati.</p>
<p>NEWBRAIN PLUS promuove e rafforze la strategia transnazionale di NEWBRAIN firmata da tutti i partners di progetto che ha identificato una lista di aree comuni di interesse per il rafforzamento della cooperazione durante il prossimo periodo di programmazione (2021-2027). Inoltre, NEWBRAIN PLUS si concentre sulle conclusioni del Policy Paper realizzato nel contesto del Cluster Tematico 4 di Adrion “Trasporto multimodale integrato e sostenibile terrestre e marittimo” coordinato dal Lead Partner, L’Autorità Portuale del Mar Adriatico Centrale (Italia).</p>
<p>NEWBRAIN PLUS mira a raggiungere l’obiettivo principale di progetto attraverso la realizzazione dell’evento pubblico di Ancona focalizzato nel coinvolgimento di stakeholders Nazionali, macro-Regionali ed Europei in un dibattito di alto livello sul ruolo del trasporto nell’area Adriatico-Ionica e sui nodi logistici, con il fine di dare evidenza alle connessioni tra le aree del Mediterraneo sud-est e le regioni dell’Europa Centrale e su come la crisi pandemica ha cambiato l’interazione tra gli attori e i fattori economici nel campo dei trasporti e della logistica.</p>
<p>Il miglioramento della strategia transnazionale di NEWBRAIN verrà perseguito anche attraverso la realizzazione di un report di aggiornamento che raccoglierà le conclusioni degli eventi di comunicazione di alto livello con l’obiettivo di rivedere o integrare le aree di cooperazione comune individuate precedentemente, includendo considerazioni sulla transizione verso “una nuova normalità ambientale” dopo la crisi causata dal COVID-19 e verso la diffusione su larga scala degli obiettivi della policy di EUSAIR del Pillar II in un nuovo quadro di cooperazione.</p>
<p> </p>
<p><strong>Partners</strong></p>
<p>Autorità di Sistema del Mar Adriatico Centrale (Italia); Autorità della Fondazione Institute for Transport and Logistics (Italia); ZAILOG Scarl (Italia); Cluster di trasporto intermodale (Croazia); ZAILOG Scarl (Italia); Piraeus Chamber Of Small And Medium Sized Industries (Grecia).</p>
<p> </p>
<p><strong>Durata</strong></p>
<p>6 mesi - da gennaio 2022 a giugno 2022</p>
<p> </p>
<p><a href="https://newbrain.adrioninterreg.eu/">https://newbrain.adrioninterreg.eu/</a></p>
<p> </p>
<p><span style="text-decoration: underline;">ENGLISH VERSION</span></p>
<p> </p>
<p><strong>NEWBRAIN –ENHANCE CAPACITY FOR INTEGRATED TRANSPORT AND MOBILITY SERVICES AND MULTIMODALITY </strong></p>
<p>The project “NEWBRAIN PLUS – Enhance capacity for integrated transport and mobility services and multimodality in the Adriatic-Ionian area”, led by the Central Adriatic Ports Authority, is co-financed by the programme Interreg Adrion.</p>
<p><strong>Project Objective</strong></p>
<p>NEWBRAIN PLUS is the follow up project proposal of NEWBRAIN and it aims at increasing the awareness among the European, National and Macro-regional stakeholders in the field of logistics and transport about the importance of the role of Motorways of the Sea in the Adriatic-Ionian region and their connection to land transport infrastructures for the freight transport flows between the two shores of the Adriatic-Ionian Sea.</p>
<p>The project addresses various infrastructural gaps and technological, procedural and organizational bottlenecks detected at local level and impacting on the smoothness of the regional transport system, by adopting a joint and transnational approach aimed at stimulating the coordinated development of physical and non-physical infrastructure and to enhance the capacity to launch feasible investments.</p>
<p>NEWBRAIN PLUS will promote and enhance the NEWBRAIN transnational strategy signed by all project partners that identified a list of common areas of interest for the strengthening of transnational institutional cooperation during the next programming period (2021-2027). Moreover, NEWBRAIN PLUS will also refer to the conclusions of the Policy Paper realized in the framework of ADRION Thematic Cluster 4 “Integrated multimodal sustainable water and land transport” coordinated by LP Central Adriatic Ports Authority (Italy).</p>
<p>NEWBRAIN PLUS intends to achieve the main objective through the realization of a public event in Ancona aimed at engaging European, Macro-regional and National stakeholders in a high-level debate over the role of the Adriatic-Ionian transport and logistics nodes for the connections between Southern-East Med areas and Western and Central Eu regions, with a look on how the pandemic crisis changed the interaction between players and economic factors in the field of transport and logistics.</p>
<p>The enhancement of NEWBRAIN transnational strategy will be pursued also through the realization of a follow up report that will collect the conclusions of the WPC high-level events with the aim to revise or integrate pre-identified common cooperation areas including considerations on the shift to a “new-normal” environment after the COVID-19 crisis and to mainstream the EUSAIR policy objectives of Pillar II into the new cooperation framework.</p>
<p><strong>Partners</strong></p>
<p>Central Adriatic Ports Authority (Italy); Institute for Transport and Logistics Foundation Authority (Italy); ZAILOG scarl (Italy); Intermodal Transport Cluster (Croatia); Piraeus Chamber Of Small And Medium Sized Industries (Greece). </p>
<p><strong>Duration</strong></p>
<p>6 months – from January 2022, until June 2022</p>
<p> </p>
<p><a href="https://newbrain.adrioninterreg.eu/">https://newbrain.adrioninterreg.eu/</a></p>]]></description>
			<category>Progetti</category>
			<pubDate>Thu, 10 Nov 2022 10:45:49 +0000</pubDate>
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		<item>
			<title>FEDeRATED</title>
			<link>https://www.zailog.it/index.php/progetti/82-federated</link>
			<guid isPermaLink="true">https://www.zailog.it/index.php/progetti/82-federated</guid>
			<description><![CDATA[<p style="text-align: left;"> </p>
<p style="text-align: center;"><img src="https://www.zailog.it/images/Federated-2.jpg" alt="" /></p>
<p><strong>Il Progetto</strong></p>
<p>Il progetto "FEDeRATED" è guidato dalla Ministerie van Infrastructuur en Waterstaat (Paesi Bassi). È cofinanziato dal programma CEF - Connecting Europe Facility.</p>
<p><strong> </strong></p>
<p><strong>Obiettivo del progetto</strong></p>
<p>FEDeRATED è un'iniziativa guidata dagli Stati membri dell'UE per contribuire alla creazione di una rete federata di piattaforme per la condivisione dei dati nel settore del trasporto merci e della logistica a livello dell'UE (e oltre).</p>
<p>L'obiettivo principale è quello di favorire un maggiore coinvolgimento da parte di enti pubblici nella filiera della logistica.</p>
<p>Tra le varie parti interessate di una catena logistica (spedizionieri, operatori dei trasporti, Operatori navali, ecc.) Esiste già la condivisione dei dati. Ad esempio, Electronic Data Interchange (EDI) ha sostituito i documenti commerciali cartacei con messaggi elettronici. Le aziende stanno già condividendo i dati di prenotazione e ordine con i loro partner commerciali per ottimizzare la supervisione dei flussi di merci. Questa condivisione dei dati è già supportata da standard, piattaforme e soluzioni IT esistenti. Tuttavia, tutti questi sistemi e iniziative sono stati progettati e sviluppati in modo indipendente, quindi in modo non coordinato. Esistono ancora troppi accordi bilaterali, soluzioni proprietarie e piattaforme diverse che impediscono una soluzione di condivisione dei dati simile alla funzionalità di Internet, che alla fine porterebbe a una registrazione e connessione a una sola piattaforma.</p>
<p>Per questi motivi, DTLF ha concluso che un sistema interoperabile di condivisione dei dati basato su piattaforme e soluzioni interoperabili esistenti (o innovative) migliorerà la visibilità della catena di approvvigionamento e la capacità di raggruppamento e consentirà una pianificazione operativa sincronizzata per un ecosistema di trasporto reattivo, resiliente e multimodale. Allo stesso tempo, l'onere amministrativo sarà ridotto e le autorità controlleranno meglio il trasporto pericoloso e illegale.</p>
<p>Infine, tale sistema migliorerà i flussi di traffico di tutti i modi di trasporto, contribuendo così a una maggiore sostenibilità, protezione e protezione.</p>
<p>In termini pratici, l'azione progetterà e convaliderà un concetto di rete federata di piattaforme per consentire la condivisione dei dati nella filiera logistica, fornendo al contempo l'interoperabilità e l'armonizzazione tra le singole piattaforme. Questo concetto consentirà:</p>
<p> </p>
<ul>
<li>Una regolare interazione tra i diversi operatori della filiera logistica e le pubbliche amministrazioni coinvolte;</li>
<li>L'ottimizzazione dell'uso delle filiere di approvvigionamento per le imprese;</li>
<li>Una pianificazione dinamica per consentire vari modi di collaborazione e ottimizzare l'utilizzo della capacità;</li>
<li>Riconoscere i sistemi (parziali) esistenti;</li>
<li>Razionalizzare il trasporto multimodale;</li>
<li>Ridurre o eliminare i costi derivanti dalla mancanza di interoperabilità.</li>
</ul>
<p> </p>
<p><strong>Partner</strong></p>
<p style="text-align: justify;">Ministerie van Infrastructuur en Waterstaat (Regno dei Paesi Bassi) (Paesi Bassi), Trafikverket - Myndigheten under Regeringen (Agenzia governativa) (TrV) (Svezia), Agenzia finlandese per i trasporti e le comunicazioni (Traficom) (Finlandia), Ministerio de Fomento (MdF) ( Spagna), Organismo Publico Puertos del Estado (EPPE) (Spagna), Administrador de Infraestructuras Ferroviarias (ADIF) (Spagna), Codognotto Italia SpA (COD) (Italia), GRIMALDI EUROMED SpA (EUROMED) (Italia), Terminal San Giorgio Srl (TSG) (Italia), ZAILOG scarl (ZAILOG) (Italia), Amministrazione marittima svedese (SJOFARTSVERKET) (SMA) (Svezia), IATA Espana S.L. Sociedad Unipersona (IATA) (Spagna), 51 Biz Luxembourg Sari (51 Biz.lu) (Lussemburgo), VEDIAF! OY (VEDIAFI) (Finlandia), Oyj Ahola Transport Abp (Ahola) (Finlandia).</p>
<p> </p>
<p><strong>Durata</strong></p>
<p>60 mesi - da gennaio 2019 a dicembre 2023</p>
<p> </p>
<p><span style="text-decoration: underline;">ENGLISH VERSION</span></p>
<p> </p>
<p><strong>The Project</strong></p>
<p>The project “FEDeRATED” is led by the Ministerie van Infrastructuur en Waterstaat (Netherlands). It is co-financed by the programme CEF - Connecting Europe Facility.</p>
<p> </p>
<p><strong>Project Objective</strong></p>
<p>FEDeRATED is an EU Member States driven initiative to contribute to the establishment of a viable federated network of platforms for data sharing in the freight transport and logistics domain at EU level (and beyond). The main objective is to enable a smooth and effective public involvement with logistics chains for the execution of public duties.</p>
<p>Among the various stakeholders of a logistics chain (shippers, forwarders, transport operators, stevedore, etc.) data sharing already exists. For instance, Electronic Data Interchange (EDI) has replaced paper-based business documents with electronic messages. Enterprises are also already sharing booking and order data with their business partners to optimise their supervision of cargo flows. This data sharing is already supported by existing standards, platforms and IT solutions. However, all these systems and initiatives have been designed and developed independently so in an uncoordinated manner. There are still too many bilateral agreements, proprietary solutions, and different platforms preventing a data sharing solution similar to the Internet functionality, which would ultimately lead to one registration and connection to only one platform.</p>
<p>For these reasons, DTLF concluded that an interoperable data sharing system based on existing (or innovative new) interoperable platforms and solutions will enhance the supply chain visibility and the bundling capacity, and will enable synchronised operation planning for a responsive, resilient and multimodal transport ecosystem. At the same time, the administrative burden will be reduced, and authorities will better monitor dangerous and illegal transport. Finally, such system will improve traffic flows of all transport modes, thus contributing to more sustainability, safety and security.</p>
<p> </p>
<p>In practical terms, the Action will design and validate a federated network of platforms concept to enable data sharing in the logistics chain while providing interoperability and harmonisation between individual platforms. This concept will allow:</p>
<ul>
<li>a smooth interaction among the different logistics chain operators and public administrations involved;</li>
<li>the optimization the use of supply chains for enterprises;</li>
<li>a dynamic planning to enable various ways of collaboration and optimize capacity utilization;</li>
<li>to recognize the existing (partial) systems;</li>
<li>to streamline multimodal transport;</li>
<li>to decrease or remove costs derived from lack of interoperability.</li>
</ul>
<p> </p>
<p><strong>Partners</strong></p>
<p>Ministerie van Infrastructuur en Waterstaat (Kingdom of The Netherlands) (Netherlands), Trafikverket - Myndigheten under Regeringen (Government Agency) (TrV) (Sweden), Finnish Transport and Communication Agency (Traficom) (Finland), Ministerio de Fomento (MdF) (Spain), Organismo Publico Puertos del Estado (EPPE) (Spain), Administrador de Infraestructuras Ferroviarias (ADIF) (Spain), Codognotto Italia S.p.A. (COD) (Italy), GRIMALDI EUROMED S.p.A. (EUROMED) (Italy), Terminal San Giorgio S.r.l. (TSG) (Italy), ZAILOG scarl (ZAILOG) (Italy), Swedish Maritime Administration (SJOFARTSVERKET) (SMA) (Sweden), IATA Espana S.L. Sociedad Unipersona (IATA) (Spain), 51 Biz Luxembourg Sari (51 Biz.lu) (Luxembourg), VEDIAF! OY (VEDIAFI) (Finland), Oyj Ahola Transport Abp (Ahola) (Finland)</p>
<p> </p>
<p><strong>Duration</strong></p>
<p>60 months – from January 2019, until December 2023</p>
<p> </p>]]></description>
			<category>Progetti</category>
			<pubDate>Thu, 05 Dec 2019 14:28:10 +0000</pubDate>
		</item>
		<item>
			<title>newbrain</title>
			<link>https://www.zailog.it/index.php/progetti/80-newbrain</link>
			<guid isPermaLink="true">https://www.zailog.it/index.php/progetti/80-newbrain</guid>
			<description><![CDATA[<p style="text-align: center;"><img src="https://www.zailog.it/images/Attachment-1.jpeg" alt="" width="371" height="239" /> </p>
<p style="text-align: left;"><strong>Il Progetto</strong></p>
<p>Il progetto "NEWBRAIN” mira a rafforzare la capacità del trasporto integrato, dei servizi di mobilità e di multi-modalità nell'area Adriatico-Ionica" ed è cofinanziato dal programma Interreg Adrion. Il progetto è guidato dall'Autorità portuale dell'Adriatico centrale.</p>
<p><strong> </strong></p>
<p><strong>Obiettivo del progetto</strong></p>
<p>Il progetto NEWBRAIN mira a rafforzare la rilevanza del sistema dei nodi centrali adriatico-ionico per l'integrazione economica e sociale dell'area interessata dal programma, nel quadro della politica europea dei trasporti e della rete TEN-T, come porte chiavi che collegano l'Europa centrale ed occidentale con il sud -Est Europa ed i paesi del Mediterraneo.</p>
<p>Il progetto affronta varie lacune infrastrutturali, tecnologiche, procedurali ed organizzative rilevate a livello locale, che incidono sulla scorrevolezza del sistema di trasporto regionale, adottando un approccio comune e transnazionale volto a stimolare lo sviluppo coordinato di infrastrutture fisiche e non fisiche ed a migliorare la capacità di avviare investimenti fattibili per il loro sviluppo.</p>
<p>Questi risultati sono raggiunti attraverso l'istituzione della rete intermodale e logistica adriatica ionica come quadro di cooperazione stabile e sostenibile per la realizzazione di un'infrastruttura di trasporto efficiente e innovativa, e di un sistema di trasporto ecologico a basse emissioni di carbonio, adottato nella strategia transnazionale NEWBRAIN e che tutti i partner dovranno adottare. L'elaborazione di piani d'azione in ciascun nodo consente la definizione di azioni prioritarie in termini di prontezza tecnica e finanziaria. Inoltre, supporta gli studi preparatori e tecnici necessari da applicare ai principali programmi finanziari europei (ad esempio CEF, FEIS, ...) attraverso le iniziative di cooperazione transnazionale il cui scopo finale è l’implementazione concreta della rete di trasporto dell'UE.</p>
<p> </p>
<p><strong>Partner</strong></p>
<p>Porti Adriatico Centrale (Italia); Autorità della Fondazione Institute for Transport and Logistics (Italia); Autorità Portuale del Mare Adriatico Meridionale (Italia); Igoumenitsa Port Authority S.A. (Grecia); Cluster di trasporto intermodale (Croazia); Port of Bar Holding company (Serbia); ZAILOG Scarl (Italia); Autorità Portuale del Mare Adriatico settentrionale (Italia); Piraeus Chamber Of Small And Medium Sized Industries (Grecia).</p>
<p> </p>
<p><strong>Durata</strong></p>
<p>28 mesi - da dicembre 2017 a marzo 2020</p>
<p> </p>
<p><strong>Sito Web di Progetto:</strong>  <a href="https://newbrain.adrioninterreg.eu/" rel="alternate">https://newbrain.adrioninterreg.eu/</a></p>
<p> </p>
<p><span style="text-decoration: underline;"><strong>ENGLISH VERSION</strong></span></p>
<p style="text-align: center;"> </p>
<p><strong>The project</strong></p>
<p>The project “NEWBRAIN – Enhance capacity for integrated transport and mobility services and multimodality in the Adriatic-Ionian area”, led by the Central Adriatic Ports Authority, is co-financed by the programme Interreg Adrion.</p>
<p> </p>
<p><strong>Project Objective</strong></p>
<p>NEWBRAIN project aims at boosting the relevance of the Adriatic-Ionian core nodes system for the economic and social integration of the programme area, in the framework of the European transport policy and TEN-T network as key gates connecting Central and Western Europe with the South-East Europe and Mediterranean countries.</p>
<p>The project addresses various infrastructural gaps and technological, procedural and organisational bottlenecks detected at local level and impacting on the smoothness of the regional transport system, by adopting a joint and transnational approach aimed at stimulating the coordinated development of physical and non-physical infrastructure and to enhance the capacity to launch feasible investments.</p>
<p>These results are achieved through the setting up of the Adriatic Ionian intermodal and logistic Network as stable and sustainable cooperation framework for the achievement of innovative efficient transport infrastructure and environmental friendly and low carbon transport system, agreed in the NEWBRAIN transnational strategy to be adopted by all partners. The elaboration of Action Plans in each node allows the definition of priority actions in terms of technical and financial readiness and supports the preparatory and technical studies needed to apply to main European financial programmes (e.g. CEF, EFSI, ..) through the transnational cooperation initiatives whose final scope is the concrete implementation of the EU transport network.</p>
<p> </p>
<p><strong>Partners</strong></p>
<p>Central Adriatic Ports (Italy); Institute for Transport and Logistics Foundation Authority (Italy); Southern Adriatic Sea Port Authority (Italy); Igoumenitsa Port Authority S.A. (Greece); Intermodal Transport Cluster (Croatia); Port of Bar Holding company (Serbia); ZAILOG scarl (Italy); North Adriatic Sea Port Authority (Italy); Piraeus Chamber Of Small And Medium Sized Industries (Greece). </p>
<p> </p>
<p><strong>Duration</strong></p>
<p>24 months – from December 2017, until November 2019</p>
<p> </p>
<p><strong>Visit Project website:  </strong><a href="https://newbrain.adrioninterreg.eu/" rel="alternate">https://newbrain.adrioninterreg.eu/</a></p>
<p> </p>]]></description>
			<category>Progetti</category>
			<pubDate>Mon, 01 Jul 2019 13:05:42 +0000</pubDate>
		</item>
		<item>
			<title>comodalce</title>
			<link>https://www.zailog.it/index.php/progetti/79-comodalce</link>
			<guid isPermaLink="true">https://www.zailog.it/index.php/progetti/79-comodalce</guid>
			<description><![CDATA[<p style="text-align: center;"> </p>
<p style="text-align: center;"> <img src="https://www.zailog.it/images/COMODALCE_CMYK.jpg" alt="" width="476" height="206" /></p>
<p> </p>
<p><strong>Il Progetto</strong></p>
<p>Il progetto "COMODALCE - Rafforzamento del coordinamento sul trasporto merci multimodale in Europa" è cofinanziato dal programma Interreg Central Europe. Il progetto è guidato dall'Autorità di rete portuale del Mare Adriatico orientale.</p>
<p> </p>
<p><strong>Obiettivo del progetto</strong></p>
<p>Il settore del trasporto merci in Europa centrale è ancora caratterizzato da tre sfide principali che ne ostacolano la competitività. La prima si focalizza sul livello squilibrato di sviluppo infrastrutturale hard e soft, sia in termini di colli di bottiglia dell'ultimo miglio, che di collegamenti mancanti tra le reti principali. Inoltre, vi è una frammentazione del quadro istituzionale tra porti / nodi logistici intermodali e istituzioni pubbliche, e una comunicazione e un coordinamento insufficienti tra gli operatori del trasporto merci e i nodi logistici, in particolare nell'interfaccia porto-interporto.</p>
<p>COMODALCE mira a migliorare il coordinamento e la competitività del settore transnazionale dei trasporti multimodali attraverso soluzioni ICT innovative.</p>
<p>All'interno di COMODALCE, i partner elaboreranno una valutazione dei bisogni territoriali di ciascuna regione coinvolta ed un’analisi della situazione, presente e futura, al fine di testare questi risultati attraverso azioni pilota concrete. Sfruttando le nuove tecnologie e lo scambio di dati tra diversi attori, il trasporto merci su rotaia diventerà più efficiente, facilitando il trasferimento modale dalla strada alla ferrovia, con effetti positivi in termini di inquinamento ed emissioni.</p>
<p> </p>
<p><strong>Partner</strong></p>
<p>Autorità di rete portuale del Mare Adriatico orientale (Italia); ZAILOG scarl (Italia); Autorità Portuale del Mar Ligure Orientale (Italia); Porto di Rostock (Germania); Luka Koper, sistema portuale e logistico, società per azioni (Slovenia); Adria Kombi d.o.o., compagnia nazionale di trasporto combinato (Slovenia); Port of Gdynia Authority S.A. (Polonia); BCT - Baltic Container Terminal, Ltd. (Polonia);National Association of Radio Distress-signalling and Infocommunications (Ungheria); Mahart Container Center Ltd. (Ungheria).</p>
<p> </p>
<p><strong>Durata</strong></p>
<p>36 mesi - da aprile 2019, fino a marzo 2022</p>
<p><strong> </strong></p>
<p><strong>Sito web del progetto:  <a title="www.interreg-central.eu/Content.Node/COMODALCE.html " href="http://www.interreg-central.eu/Content.Node/COMODALCE.html%20" rel="alternate">www.interreg-central.eu/Content.Node/COMODALCE.html  </a></strong></p>
<p> </p>
<p><span style="text-decoration: underline;"><strong>ENGLISH VERSION</strong></span></p>
<p> </p>
<p><strong>The project</strong></p>
<p>The project “COMODALCE – Enhancing COordination on multiMODAL freight transport in CE”, led by the Port Network Authority of the Eastern Adriatic Sea, is co-financed by the programme Interreg Central Europe.</p>
<p> </p>
<p><strong>Project Objective</strong></p>
<p>The freight transport sector in Central Europe is still characterized by three main challenges hampering its competitiveness. An imbalanced level of hard and soft infrastructural development, both in terms of last mile bottlenecks and missing links among the main networks. A fragmentation of the institutional framework between ports/intermodal logistic nodes and public institutions and an insufficient communication and coordination between freight operators and the logistic nodes, especially in the port-inland interface.</p>
<p>COMODALCE aims at improving coordination and competitiveness of the transnational multimodal transport sector through the innovative ICT solutions.</p>
<p>Within COMODALCE, partners will elaborate territorial needs assessment of each region involved and analyses of the present and future situation in order to test these outputs through concrete pilot actions. Exploiting new technologies and data exchange between different actors, the rail freight transport will become more efficient, facilitating the modal shift from road to rail, with positive effects in terms of pollution and emissions.  </p>
<p> </p>
<p><strong>Partners</strong></p>
<p>Port Network Authority of the Eastern Adriatic Sea (Italy); ZAILOG scarl (Italy); Port Authority of the Eastern Ligurian Sea (Italy); Rostock Port (Germany); Luka Koper, port and logistic system, public limited company (Slovenia); Adria Kombi d.o.o., National combined transport company (Slovenia); Port of Gdynia Authority S.A. (Poland); BCT – Baltic Container Terminal, Ltd. (Poland); National Association of Radio Distress-signalling and Infocommunications (Hungary); Mahart Container Center Ltd. (Hungary).</p>
<p> </p>
<p><strong>Duration</strong></p>
<p>36 months – from April 2019, until March 2022</p>
<p> </p>
<p><strong>Visit Project website:  </strong><a title="www.interreg-central.eu/Content.Node/COMODALCE.html " href="http://www.interreg-central.eu/Content.Node/COMODALCE.html%20" rel="alternate">www.interreg-central.eu/Content.Node/COMODALCE.html <strong> </strong></a></p>
<p> </p>]]></description>
			<category>Progetti</category>
			<pubDate>Mon, 01 Jul 2019 12:58:00 +0000</pubDate>
		</item>
		<item>
			<title>Logistar</title>
			<link>https://www.zailog.it/index.php/progetti/70-logistar</link>
			<guid isPermaLink="true">https://www.zailog.it/index.php/progetti/70-logistar</guid>
			<description><![CDATA[<p> </p>
<p> </p>
<p style="text-align: center;"><img src="https://www.zailog.it/images/logistar-logo.jpg" alt="" width="528" height="326" /></p>
<p> </p>
<p><strong>Il Progetto</strong></p>
<p>Il progetto "LOGISTAR – Avanzate tecniche di gestione dei dati per la pianificazione e la programmazione della logistica in tempo reale", guidato dall'Universidad De La Iglesia De Deusto Entidad Religiosa, è cofinanziato dal programma Horizon 2020.</p>
<p> </p>
<p><strong>Obiettivo del progetto</strong></p>
<p>L'UE deve affrontare la sfida di mantenere ed aumentare la propria crescita economica e far fronte al problema dell'efficienza del trasporto merci in Europa. Sono necessari l’integrazione dei volumi e delle modalità di trasporto, il migliore utilizzo della capacità, flessibilità, efficienza delle risorse e la cooperazione tra tutti gli attori della catena logistica.</p>
<p>Allineato con le politiche europee e con la roadmap di “ALICE”, l'obiettivo di LOGISTAR è consentire un'efficace pianificazione e ottimizzazione delle operazioni di trasporto nella catena di approvvigionamento sfruttando la collaborazione orizzontale della catena, basandosi sui dati in tempo reale raccolti dall'ambiente interconnesso. A tal fine, saranno sviluppati uno strumento decisionale e di visualizzazione in tempo reale del trasporto merci, allo scopo di fornire informazioni e servizi ai vari agenti coinvolti nella catena logistica, ovvero gli operatori del trasporto merci, ai loro clienti, alle industrie e alle altre parti interessate come i gestori di magazzini o infrastrutture.</p>
<p>LOGISTAR sarà focalizzato su diversi miglioramenti partendo dallo stato dell'arte nel campo interdisciplinare degli algoritmi intelligenti per l'elaborazione dei dati. Queste migliorie sono: l'intelligenza artificiale focalizzata sulla predizione, la metaeuristica ibrida parallela per l'ottimizzazione, le tecniche di negoziazione automatizzata e le tecniche di risoluzione dei problemi di soddisfazione dei vincoli. La piattaforma risultante produrrà altri prodotti e servizi orientati verso il mercato come sistemi di scambio merci, piattaforme collaborative, torri di controllo del trasporto o sistemi di routing.</p>
<p> </p>
<p><strong>Partners</strong></p>
<p>Deusto (Spagna), University College Cork – UCC (Irlanda), CSIC (Spagna), DNET (Serbia), SWC (Austria), Preston (United Kingdom), MDST (United Kingdom), SAG (Germany), DBH (Germany), Genegis (Italy), Ahlers (Belgio), Zailog (Italy), Nestle (United Kingdom), Pladis (United Kingdom), Codognotto (Italy).</p>
<p><strong> </strong></p>
<p><strong>Durata</strong></p>
<p>36 mesi - da giugno 2018, fino a maggio 2021</p>
<p> </p>
<p>Sito web di progetto:  <a href="http://logistar-project.eu/">http://logistar-project.eu/</a></p>
<p> </p>
<p><span style="text-decoration: underline;"><strong>ENGLISH VERSION</strong></span></p>
<p> </p>
<p><strong>The Project</strong></p>
<p>The project “LOGISTAR – Enhanced data management techniques for real time logistics planning and scheduling”, led by the Universidad De La Iglesia De Deusto Entidad Religiosa, is co-financed by the programme Horizon 2020.</p>
<p> </p>
<p><strong>Project Objective</strong></p>
<p>The EU faces the challenge to maintain and increase its economic growth and cope with the problem of freight transport efficiency in Europe. Integration of transport volumes and modes, better use of capacity, flexibility, resource efficiency and cooperation between all actors along the logistic chain are required.</p>
<p>Aligned with the European policies and the ALICE roadmap, LOGISTAR objective is to allow effective planning and optimizing of transport operations in the supply chain by taking advantage of horizontal collaboration, relying on the increasingly real-time data gathered from the interconnected environment. For this, a real-time decision making tool and a real-time visualization tool of freight transport will be developed, with the purpose of delivering information and services to the various agents involved in the logistic supply chain, i.e. freight transport operators, their clients, industries and other stakeholders such as warehouse or infrastructure managers.</p>
<p>LOGISTAR will address several advances beyond the State of the Art in the interdisciplinary field of the smart algorithms for data processing: Artificial Intelligence focussed on prediction, parallel hybrid metaheuristics for optimization, automated negotiation techniques, and constraint satisfaction problem solving techniques. The resulting platform will outperform other market products and services such as Freight Exchange Systems, Collaborative Platforms, Transport Control Towers or Routing Systems.</p>
<p> </p>
<p><strong>Partners</strong></p>
<p>Deusto (Spain), University College Cork – UCC (Ireland), CSIC (Spain), DNET (Serbia), SWC (Austria), Preston (United Kingdom), MDST (United Kingdom), SAG (Germany), DBH (Germany), Genegis (Italy), Ahlers (Belgium), Zailog (Italy), Nestle (United Kingdom), Pladis (United Kingdom), Codognotto (Italy).</p>
<p> </p>
<p><strong>Duration</strong></p>
<p>36 months – from June 2018, until May 2021</p>
<p> </p>
<p>Visit Project website: <strong> <a href="http://logistar-project.eu/">http://logistar-project.eu/</a> </strong></p>
<p> </p>]]></description>
			<category>Progetti</category>
			<pubDate>Tue, 04 Dec 2018 09:53:18 +0000</pubDate>
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		<item>
			<title>Talknet</title>
			<link>https://www.zailog.it/index.php/progetti/69-talknet-transport-and-logistics-stakeholders-network</link>
			<guid isPermaLink="true">https://www.zailog.it/index.php/progetti/69-talknet-transport-and-logistics-stakeholders-network</guid>
			<description><![CDATA[<p><img style="display: block; margin-left: auto; margin-right: auto;" src="https://www.zailog.it/images/TalkNET.jpg" alt="" width="453" height="340" /><strong>Il Progetto</strong></p>
<p>Il progetto " TALKNET – Transport and Logistics Stakeholders Network ", guidato dall'Autorità portuale del Mare Adriatico settentrionale, è cofinanziato dal programma INTERREG CENTRAL EUROPE.</p>
<p><strong> </strong></p>
<p><strong>Obiettivo del progetto</strong></p>
<p>Lo sviluppo di meccanismi armonizzati di cooperazione tra le parti interessate del trasporto merci è essenziale per rafforzare il trasporto multimodale, necessario per il rispetto dell'ambiente nelle regioni europee. TalkNET si concentra sul miglioramento del coordinamento degli Stakeholder per favorire l'integrazione tra Porti / Interporti ed operatori dei trasporti, e rendere i nodi logistici multimodali più efficienti e sostenibili. L'obiettivo principale è l'integrazione tra porti, terminal terrestri ed operatori dei trasporti, la gestione efficiente dei terminal e delle connessioni dell'ultimo miglio per migliorare le soluzioni di trasporto merci multimodale.</p>
<p>I principali cambiamenti previsti sono: l'istituzione di un coordinamento transnazionale tra gli Stakehoders del trasporto merci, l'effettiva integrazione tra terminali portuali / interporti e operatori dei trasporti, nonchè il miglioramento e l'ottimizzazione dei collegamenti dei nodi logistici multimodali.</p>
<p>Il valore aggiunto transnazionale del progetto viene rafforzato attraverso una dimensione di clusters tematici transnazionali collegati a due macro argomenti: efficienza e connessioni dei nodi multimodali e soluzioni di innovazione eco-sostenibili, che riuniscono i principali porti, interporti ed attori logistici. Il progetto avvantaggia positivamente la competitività del trasporto merci e supporta gli attori pubblici nel processo decisionale.</p>
<p>Questi risultati sono raggiunti attraverso lo sviluppo e l'implementazione di strumenti di conoscenza comuni, azioni pilota e corsi di formazione per sostenere gli investimenti sull'efficienza nella gestione dei terminali, nuovi servizi intermodali, connessioni dell'ultimo miglio e sulla diffusione di combustibili alternativi e soluzioni di efficienza energetica.</p>
<p>L'approccio è innovativo perché si concentra sull'ottimizzazione delle infrastrutture esistenti (non pianificandone di nuove) e sullo sviluppo di soluzioni comuni in stretto coordinamento con gli Stakeholder nell’ambito dei trasporti. È stato definito un ciclo di apprendimento a partire dalla definizione di cinque strumenti di conoscenza che vengono migliorati alla fine del progetto attraverso l'esperienza acquisita.</p>
<p> </p>
<p><strong>Partners</strong></p>
<p>Autorità portuale del Mare Adriatico settentrionale (Italia), Autorità portuale della rete portuale del Mare Adriatico orientale (Italia), Veneto Strade SpA (Italia), Zailog scarl (Italia), Luka Koper (Slovenia), Autorità portuale di Fiume (Rijeka), Rail Cargo Hungaria (Ungheria), Porto franco di Budapest (Ungheria), Porti pubblici, jsc (Bratislava), Regione di Westpomeranian (Polonia), Stettino e Swinoujscie Seaports Authority SA (Polonia), Agenzia di sviluppo regionale della regione di Ústí, PLC (Repubblica Ceca), Lokomotion (Germania), Camera di commercio italo-tedesca a Monaco (Germania), Codognotto Polonia (Polonia).</p>
<p> </p>
<p><strong>Durata</strong></p>
<p>39 mesi - da giugno 2017 a agosto 2020</p>
<p> </p>
<p>Visita il sito web del progetto:   <a href="http://www.interreg-central.eu/Content.Node/TalkNET.html">http://www.interreg-central.eu/Content.Node/TalkNET.html</a></p>
<p> </p>
<p><span style="text-decoration: underline;"><strong>ENGLISH VERSION</strong></span></p>
<p> </p>
<p><strong>The Project</strong></p>
<p>The project “TALKNET – Transport and Logistics Stakeholders Network”, led by the North Adriatic Sea Port Authority, is co-financed by the programme INTERREG CENTRAL EUROPE.</p>
<p> </p>
<p><strong>Project Objective</strong></p>
<p>The development of harmonized mechanisms of cooperation among freight transport stakeholders is essential to strengthen environmentally-friendly multimodal transport in CE regions. TalkNET focuses on the improvement of the coordination of stakeholders to foster the integration between ports/inland terminals and transport operators and enhance efficient and sustainable multimodal logistics nodes. Main objective is the integration between ports, inland terminal and transport operators and the efficient management of terminals and last mile connections to enhance multimodal freight transport solutions.</p>
<p>Main changes expected are the establishment of transnational coordination stakeholders networks for freight transport, the effective integration among port/inland terminals and transport operators and the enhancement and optimization of multimodal logistics nodes management and connections.</p>
<p>The transnational added value of the project is enhanced through a transnational thematic clusters dimension linked to two macro topics - multimodal nodes efficiency and connections and ECO innovation solutions, bringing together main ports, inland te\rminals and logistics players. The project positively benefits the competitiveness of freight transport and support public actors in the decision making process. These results is achieved through the development and implementation of common knowledge tools, pilot actions and trainings to support investments on terminal management efficiency, new intermodal services, last mile connections and on the deployment of alternative fuels and energy efficiency solutions. Approach is innovative because it is focused on the optimization of existing infrastructures (not planning new ones) and in the development of common solutions in strong coordination with transport stakeholders. A learning loop has been defined starting from the definition of five knowledge tools that are improved at the end of the project through the experience acquired.</p>
<p> </p>
<p><strong>Partners</strong></p>
<p>North Adriatic Sea Port Authority (Italy), Port Network Authority of the Eastern Adriatic Sea (Italy), Veneto Strade S.p.A. (Italy), Zailog scarl (Italy), Luka Koper (Slovenia), Port of Rijeka Authority (Rijeka), Rail Cargo Hungaria (Hungary), Freeport of Budapest (Hungary), Public ports, jsc (Bratislava), Westpomeranian Region (Poland), Szczecin and Swinoujscie Seaports Authority S.A. (Poland), Regional Development Agency of Ústí Region, PLC (Czech Republic), Lokomotion (Germany), Italian-German Chamber of Commerce in Munich (Germany), Codognotto Poland (Poland).</p>
<p> </p>
<p><strong>Duration</strong></p>
<p>36 months – from June 2017, until May 2020</p>
<p> </p>
<p><strong>Visit Project website:   <a href="http://www.interreg-central.eu/Content.Node/TalkNET.html">http://www.interreg-central.eu/Content.Node/TalkNET.html</a></strong></p>
<p> </p>]]></description>
			<category>Progetti</category>
			<pubDate>Tue, 04 Dec 2018 09:25:11 +0000</pubDate>
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			<title>URSA MAJOR Neo (UMneo)</title>
			<link>https://www.zailog.it/index.php/progetti/68-ursa-major-neo-umneo</link>
			<guid isPermaLink="true">https://www.zailog.it/index.php/progetti/68-ursa-major-neo-umneo</guid>
			<description><![CDATA[<p style="text-align: center;"><img src="https://www.zailog.it/images/Ursa-Major.jpg" alt="" width="562" height="103" /></p>
<p> </p>
<p> <strong>Il progetto</strong></p>
<p>Il progetto "URSA MAJOR neo" è guidato dal Bundesministerium für Verkehr und digital Infrastruktur, Ministero delle Infrastrutture e dei trasporti-Direzione generale per lo sviluppo del territorio, la programmazione e i progetti internazionali e Ministerie van Infrastructuur en Milieu. È cofinanziato dal programma CEF - Connecting Europe Facility.</p>
<p> </p>
<p><strong>Obiettivo del progetto</strong></p>
<p>URSA MAJOR neo (UMneo) si focalizza sull’implementazione dei servizi ITS per migliorare il traffico merci sulla rete stradale TEN-T lungo i corridoi della rete centrale CEF RHINE-ALPINE e SCANDINAVIAN-MEDITERRANEAN, collegando i porti del Mare del Nord, il Reno e la Ruhr, le aree metropolitane della Germania meridionale e dell'Italia settentrionale ed i porti del Mediterraneo fino alla Sicilia.</p>
<p>Parti del corridoio della rete centrale del CEF RHINE-DANUBE sono indirizzate nel centro dell’Europa a causa di importanti rotte di traffico merci che collegano questi corridoi.</p>
<p>Il miglioramento dei servizi per il traffico merci internazionale lungo i corridoi citati è il principale valore aggiunto a livello Europeo da UMneo.</p>
<p>UMneo offre vantaggi diretti agli utenti come camionisti e trasportatori internazionali (miglioramento dei parcheggi per camion, miglioramento della navigazione, minori ritardi e meno incertezze, maggiore sicurezza). Il progetto ha importanti effetti socioeconomici sul trasporto merci a lungo e medio raggio in termini di prevenzione della congestione, migliore stima dei tempi di viaggio e maggiore capacità nel parcheggio dei camion.</p>
<p>Le implementazioni ITS coperte da UMneo mirano almeno uno dei seguenti argomenti:</p>
<p>-Servizi di parcheggio per camion potenziati;</p>
<p>-Miglioramento delle informazioni del traffico e sui viaggiatori;</p>
<p>-Rimuovere i colli di bottiglia</p>
<p>-Migliorata sicurezza per il trasporto merci</p>
<p>Inoltre, UMneo include piloti sviluppati in situazioni di vita reale, che implementeranno soluzioni innovative al fine di testare fattibilità, idoneità e valore aggiunto prima di un potenziale spiegamento su larga scala.</p>
<p>Poiché i piloti includono i servizi C-ITS e anche il truck platooning, UMneo è concentrato nella collaborazione e sviluppo della piattaforma C-Roads, fornendo feedback sui risultati dell'azione. Germania, Italia e Paesi Bassi sono già membri del comitato direttivo della piattaforma C-Roads e garantiranno coerenza e interoperabilità tra UMneo e altre iniziative C-Roads.</p>
<p>L'azione si svolge in Germania, Italia e Paesi Bassi. La Svizzera parteciperà come partner attivo senza finanziamenti dell'UE. L'Austria, in quanto paese di transito, è coinvolta tramite lettera di intenti e non riceve finanziamenti dall'UE.</p>
<p> </p>
<p><strong>Partners</strong></p>
<p style="text-align: justify;">Oberste Baubehörde im Bayerischen Staatsministerium des Innern, für Bau und Verkehr (Germany), Autobahndirektion Südbayern (Germany), Autobahndirektion Südbayern, Zentralstelle Verkehrsmanagement (Germany), Autobahndirektion Nordbayern (Germany), Ministerium für Verkehr Baden-Württemberg (Germany), Regierungspräsidium Stuttgart (Germany), Regierungspräsidium Karlsruhe (Germany), Regierungspräsidium Freiburg (Germany), Regierungspräsidium Tübingen (Germany), Hessen Mobil (Germany), Ministerium für Verkehr des Landes Nordrhein-Westfalen (Germany), Landesbetrieb Straßenbau Nordrhein-Westfalen (Germany), Ministerium für Wirtschaft, Verkehr, Landwirtschaft und Weinbau des Landes Rheinland-Pfalz (Germany), Landesbetrieb Mobilität Rheinland-Pfalz (Germany), Società Iniziative Nazionali Autostradali S.p.A (Italy), ANAS S.p.A (Italy), Autorità di Sistema Portuale del Mare Adriatico Orientale (Italy), Autorità di Sistema Portuale del Mar Ligure Orientale (Italy), Autorità di Sistema Portuale del Mare Adriatico Centro-Settentrionale (Italy), Autorità di Sistema Portuale del Mar Tirreno Settentrionale (Italy), Autorità di Sistema Portuale del Mare Adriatico Settentrionale (Venezia e Chioggia) (Italy), Autorità Portuale di Gioia Tauro (Italy), Autostrada Brescia-Verona-Vicenza-Padova S.p.A. (Italy), Autostrada del Brennero S.p.A. (Italy), Autostrade per l’Italia S.p.A. – AD/DGOM/ITP (Impianti) (Italy), Autovie Venete S.p.A. (Italy), CAV Concessioni Autostradali Venete S.p.A. (Italy), Zailog scarl (Italy), Ministero dell’Interno – Dipartimento della Pubblica Sicurezza – Direzione Centrale per la Polizia Stradale, Ferroviaria, delle Comunicazioni e per i Reparti Speciali della Polizia di Stato – Servizio Polizia Stradale (Italy), Rete Autostrade Mediterranee S.p.A. (Italy), Strada dei Parchi S.p.A. (Italy), Rijkswaterstaat (the Netherlands), TNO (the Netherlands), Innovatie Centrale (the Netherlands), TKI DINALOG (the Netherlands).</p>
<p> </p>
<p><strong>Durata</strong></p>
<p>46 mesi - da febbraio 2017 a dicembre 2020</p>
<p> </p>
<p>Visita il sito web del progetto (<a href="https://www.ursamajor.its-platform.eu/">https://www.ursamajor.its-platform.eu/</a>)</p>
<p> </p>
<p><img 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" /></p>
<p><span style="text-decoration: underline;"><strong>ENGLISH VERSION</strong></span></p>
<p> </p>
<p><strong>The project</strong></p>
<p>The project “URSA MAJOR neo” is led by the Bundesministerium für Verkehr und digitale Infrastruktur, Ministero delle Infrastrutture e dei trasporti-Direzione generale per lo sviluppo del territorio, la programmazione e i progetti internazionali and Ministerie van Infrastructuur en Milieu. It is co-financed by the programme CEF - Connecting Europe Facility.</p>
<p> </p>
<p><strong>Project Objective</strong></p>
<p>URSA MAJOR neo (UMneo) continues the deployment of ITS services to improve freight traffic on the TEN-T road network along the RHINE-ALPINE and SCANDINAVIAN-MEDITERRANEAN CEF core network corridors, linking North-Sea-Ports, the Rhine and Ruhr area, metropolitan areas in southern Germany and northern Italy and Mediterranean ports down to Sicily. Parts of the CEF core network corridor RHINE-DANUBE are also addressed due to important freight traffic routes linking these corridors in the middle of Europe. Improving services for international freight traffic along the mentioned corridors is the main European added value of UMneo.</p>
<p>UMneo provides direct user benefits to international truck drivers and hauliers (better truck parking, better navigation, less delays and less uncertainties, increased safety). It has major socio-economic effects on the long and medium freight transport in terms of congestion avoidance, better travel time estimation and more capacity in truck parking.</p>
<p>The ITS deployments covered by UMneo address at least one of the following topics:</p>
<p>-Enhanced truck parking services</p>
<p>-Improved traffic and traveller information</p>
<p>-Remove bottlenecks</p>
<p>-Improved safety for freight transport</p>
<p>Furthermore, UMneo includes real life pilots, which will implement innovative solutions in order to test feasibility, suitability and added value prior to a potential large scale deployment.</p>
<p>Since real life pilots include C-ITS services and also truck platooning, UMneo is committed to cooperate with and build upon C-Roads platform, and provide feedback on the results of the Action. Germany, Italy and the Netherlands are already members of the C-Roads Platform Steering Committee and they will ensure consistency and interoperability between UMneo and other C-Roads initiatives.</p>
<p>The action takes place in Germany, Italy and the Netherlands. Switzerland will participate as an active partner without EU funding. Austria, as transit country, is involved via letter of intent and receives no EU funding.</p>
<p> </p>
<p><strong>Partners</strong></p>
<p>Oberste Baubehörde im Bayerischen Staatsministerium des Innern, für Bau und Verkehr (Germany), Autobahndirektion Südbayern (Germany), Autobahndirektion Südbayern, Zentralstelle Verkehrsmanagement (Germany), Autobahndirektion Nordbayern (Germany), Ministerium für Verkehr Baden-Württemberg (Germany), Regierungspräsidium Stuttgart (Germany), Regierungspräsidium Karlsruhe (Germany), Regierungspräsidium Freiburg (Germany), Regierungspräsidium Tübingen (Germany), Hessen Mobil (Germany), Ministerium für Verkehr des Landes Nordrhein-Westfalen (Germany), Landesbetrieb Straßenbau Nordrhein-Westfalen (Germany), Ministerium für Wirtschaft, Verkehr, Landwirtschaft und Weinbau des Landes Rheinland-Pfalz (Germany), Landesbetrieb Mobilität Rheinland-Pfalz (Germany), Società Iniziative Nazionali Autostradali S.p.A (Italy), ANAS S.p.A (Italy), Autorità di Sistema Portuale del Mare Adriatico Orientale (Italy), Autorità di Sistema Portuale del Mar Ligure Orientale (Italy), Autorità di Sistema Portuale del Mare Adriatico Centro-Settentrionale (Italy), Autorità di Sistema Portuale del Mar Tirreno Settentrionale (Italy), Autorità di Sistema Portuale del Mare Adriatico Settentrionale (Venezia e Chioggia) (Italy), Autorità Portuale di Gioia Tauro (Italy), Autostrada Brescia-Verona-Vicenza-Padova S.p.A. (Italy), Autostrada del Brennero S.p.A. (Italy), Autostrade per l’Italia S.p.A. – AD/DGOM/ITP (Impianti) (Italy), Autovie Venete S.p.A. (Italy), CAV Concessioni Autostradali Venete S.p.A. (Italy), Zailog scarl (Italy), Ministero dell’Interno – Dipartimento della Pubblica Sicurezza – Direzione Centrale per la Polizia Stradale, Ferroviaria, delle Comunicazioni e per i Reparti Speciali della Polizia di Stato – Servizio Polizia Stradale (Italy), Rete Autostrade Mediterranee S.p.A. (Italy), Strada dei Parchi S.p.A. (Italy), Rijkswaterstaat (the Netherlands), TNO (the Netherlands), Innovatie Centrale (the Netherlands), TKI DINALOG (the Netherlands).</p>
<p> </p>
<p><strong>Duration</strong></p>
<p> 46 months – from February 2017, until December 2020</p>
<p> </p>
<p>Visit the project website (<strong><a href="https://www.ursamajor.its-platform.eu/">https://www.ursamajor.its-platform.eu/</a></strong>)</p>
<p> </p>
<p><img 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" /></p>
<p> </p>]]></description>
			<category>Progetti</category>
			<pubDate>Wed, 21 Nov 2018 09:44:53 +0000</pubDate>
		</item>
	</channel>
</rss>
