Coordinating European Future Internet Research

transport

COST: Transit

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SUMMARY

Information and communications technology can increase infrastructure usage, improve safety, enhance travellers access to information and reduce transportation times as well as fuel consumption. Therefore advanced Intelligent Transportation Systems (ITS) are becoming increasingly widespread as a mean of optimizing transit operations and infrastructure usage. However, models currently used to describe and predict passengers lows across the network do not take adequately into consideration the effects brought about by ITS on transit operations and on user behavior. Hence, transport planning based onto ITS is not completely meaningful and does not exploit to the full the amount of high quality data made availabl. This deficiency can delay the realization of the benefits of enhanced passenger information provision.

The project aims to gathers together researchers in the field of transport and urban and regional planning, transport operators and authorities, consultancies and software developers. The main goal is to exchange knowledge and research in the field of transit assignment models, tailored to the era of Intelligent Transport Systems.

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SOLUTIONS

  • Improving on existing solutions in the field of transit assignment models
  • Increasing infrastructure usage, improving safety, enhancing travellers’ access to information and reducing transportation times as well as fuel consumption

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LINK:http://www.tsi.lv/lv/content/cost-action-tu1004-modelling-public-transport-passenger-flows-era-intelligent-transport

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Optical fiber sensor applications for automatic measurement of the weight on the move

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SUMMARY

Latvia is a country highly reliant on transportation services. But there is a lack of modern ICT tools. The main aim of this project is to develop such tools for the traffic system in Latvia. The team will develop algorithms for electrical signal processing and will develop controllers for projecting different vehicle weights.

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SOLUTIONS

  • Determining the speed of vehicles, classification, number of vehicles;
  • Identifying traffic jams on the roads and switching frequency of traffic lights;

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LINK:http://www.tsi.lv/lv/content/optical-fiber-sensor-applications-automatic-measurement-weight-move-and-development

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eConnect

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SUMMARY

Seven municipal utilities from all over Germany – Aachen Allgau, Duisburg, Leipzig, Osnabrück, Sylt, and Trier – have teamed up with “econnect Germany” to create a research network and compete successfully in the technology competition “ICT for Electric Mobility II” which is run by the Federal Ministry of Economics and Technology.

The goal of “econnect Germany” is to develop sustainable and intelligent electro-mobile traffic applications integrate electric vehicles into the smart grid of the future.These technologies are studied, developed and tested by means of information and communication technology. Special consideration will be given by the project team to developing applications for public utility infrastructure.

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SOLUTIONS

  • Developing intelligent eMobile traffic applications
  • Testing on seven sites around Germany

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LINK:http://dbis.rwth-aachen.de/cms/projects/econnect

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RODOS 2

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SUMMARY

This project is working on applications which will predict flooding in an area several hours in advance and can rapidly identify traffic congestion in real time so tat traffic can be diverted away from the flooded area without causing traffic congestion in other areas.
Such a solution would rely on collating large amounts of data and evaluating it using efficient algorithms which can extract the relevant information necessary for effective decision-making.

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SOLUTIONS

  • Improving data supply and management to support management and decision-making in emergency situations
  • Creating traffic load simulation and prediction to aid intelligent navigation and traffic control
  • Modelling flood, fire spread and air pollution
  • Designing tools for reliability analysis and risk assessment

 

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LINK: http://www.it4i.cz/earth-sciences/rodos-2/?lang=en&lang=en

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E-Mobility NSR

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SUMMARY

The E-Mobility NSR (North Sea Region Electric Mobility Network) project aims to provide state-of-the-art information to support policy development in e-mobility in the North Sea Region. The research project also looks to provide insight into the insufficiencies, anachronisms, and gaps in the infrastructure, logistics and preliminary standards for multi-charging techniques. Ultimately, the project aims to develop an e-mobility ecosystem in the North Sea Region which will provide a long-term basis upon which regional and local governments, as well as other relevant stakeholders in the NSR, may engage with each other.

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SOLUTIONS

  • Supporting policy development for e-mobility in the North Sea Region
  • Developing an e-mobility ecosystem which will provide a long-term basis upon which regional and local governments, as well as other relevant stakeholders in the NSR, may engage with each other.

 

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LINK: http://www.iminds.be/en/projects/2014/02/28/emobility

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TraPIST

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SUMMARY

Real-time travel information for rail travelers is still used inefficiently today and is rarely combined with other data sources. It is up to the rail travelers themselves to look actively for important information about their trip. The TraPIST project team believes that in a dynamic context such as that of public transport, it would be much simpler to be able to consult the right information at the right time.

The current generation of applications based on real-time train information (RTTI) is still not fully using (open) data to facilitate rail travel. They are often based on only one source, even though more relevant sources are available (e.g. vehicle sensor data, passenger data, weather forecast, etc.). Moreover, travelers today expect additional ‘layers’ of information, such as integration with social media or entertainment.

The TraPIST project seeks to offer train travelers relevant information at the right time and through the most appropriate channel.

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SOLUTIONS

  • Developing applications for smart devices and public displays which collects, analyzes, classifies and filters data from various sources, based on a dynamic traveler profile. These applications can be practical, offering travel-related information, as well as social information or entertainment
  • Tailoring the information to specific circumstances, contexts, and user preferences

 

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LINK: http://kom.aau.dk/project/edge/

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Virtual Traffic Lights

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SUMMARY

Traffic congestion is a significant problem in most major European cities, and has been estimated to cost as much as 1% of EU GDP. In its present form, the use of Traffic Light to control and regulate road traffic has proven to be very costly and inadequate scalable. Through leveraging the new vehicle-to-vehicle (V2V) communication capability of modern cars, the VTL (Virtual Traffic Lights) project proposes to design and validate an alternative scheme of urban traffic control that envisions traffic lights as in-vehicle virtual signs. Such a scheme would enable ubiquity of signalised intersections, and would allow the automatic synchronisation of light phases, cycle durations and green splits through the coordination of vehicular ad-hoc networks (VANETs).

The project team will aim to take advantage of the mandatory adoption by the automotive industry of the Wireless Access for Vehicular Environments (WAVE) protocol, and the ability of vehicles to communicate with each other, thus creating a distributed and highly reliable system of in-vehicle virtual traffic lights (VTL). Preliminary simulations of this self-organising traffic paradigm show a potential to increase the average flow rates substantially. In addition, traffic control and management will be rendered more ubiquitous and cost-effective.

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SOLUTIONS

  • Creating an automated, self-organising system which, through the use of vehicle-to-vehicle wireless communication will allow the replacement of physical traffic lights with more efficient and cost-effective virtual, in-vehicle traffic lights
  • Designing a VTL communication protocol and techniques for the distributed optimisation of traffic flow.
  • Testing the security and reliability of the VTL system.
  • Developing human-machine interface of the VTL system and usability evaluation
  • Producing a hardware design for retrofitting and field trial experiments.

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LINK: http://www.it.pt/project_detail_p.asp?ID=1730

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SIMPLI-CITY

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SUMMARY

“SIMPLI-CITY – The Road User Information System of the Future” will foster the usage of full-fledged road user information systems – helping drivers to make their journey safer, more comfortable, and more environmentally friendly.

The project will develop a holistic framework which structures and bundles potential services that could deliver data from the various sources to road user information systems as well as allows road users to make use of the data and to integrate it into their driving experience. The real-world application be demonstrated in two dedicated use cases:

  1. The “Meeting the Increased Mobility Demand” use case will show how SIMPLI-CITY helps users in their journeys to big events and also provides the innovative topic “personalised traffic restrictions”.
  2. The “Enhancing the Driving Experience” use case will especially focus on the enhancement of environmental friendliness using services developed in SIMPLI-CITY as well as dedicated comfort and leisure services like media streaming.

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SOLUTIONS

  • Enabling third party providers to utilise a next-generation, European wide, mobility-related service platform to create a wide range of interoperable, value-added services, and applications for drivers and other road users
  • Providing an end user assistant allowing road users to make use of the information provided by applications and to interact with them in a non-distracting way – based on a speech recognition approach.
  • Delivering a Mobility Service Framework as the foundation for all services and end user applications facilitated by the project
  • Following the Mobility-related Data as a Service approach to allow data from sensors, cooperative systems, telematics, open data repositories, user-centric sensing, and media data streams to be modelled, accessed, and integrated in a unified way.
  • Creating a Personal Mobility Assistant (PMA) which will allow end users to interact with services in an intuitive, non-distracting way.

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LINK: http://simpli-city.eu

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Stride

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SUMMARY

The Internet of Things will allow the Transport and Logistics sector to more intelligently exploit its rich and complex data base leading to more efficient and effective use of the transport infrastructure.

The challenge is to create an environment where data providers have incentives to share data and application and service providers have access to it in a usable manner.

The Stride project, delivered by a consortium of world class partners, will create an IoT Cluster for Smart Transport, initially focused on the East of England. The project will focus on the creation of a Smart Transport ecosystem where all stakeholders share data so that innovations and synergies can be found at every level of service provision.

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SOLUTIONS

  • Providing a critical mass of diverse transport data including historical and real-time data collected from sensors
  • Acting as a focal point for the development of smart transport applications and business process improvements
  • Determining the commercial conditions that must exist for such an ecosystem to thrive
  • Working with stakeholders to ensure a broad dissemination and uptake of project outputs

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LINK: http://www.stride-project.com/

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CAMA

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SUMMARY

Technological advancements in localisation and ICT technologies enable almost ubiquitous tracking of individuals, be it pedestrians using a smart phone, GPS-enabled cars or GPS-tagged animals. In order to overcome the legacy of static cartography, the new domain of Geographical Information Science (GIScience) is challenged to develop novel tools which will allow scientists to construct a comprehensive understanding of the movement processes which they study.

In this context, the CAMA project seeks to develop a spatiotemporal analysis technique for Context-Aware Movement Analysis. The project will continue the integration of spatiotemporal analysis, data mining and computational geometry, thereby extending the GIS toolbox with context-aware movement analysis tools.

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SOLUTIONS

  • Investigating current literature and applications within the research domain
  • Designing methods relating movement and movement patterns to the geographical context so as to achieve an improved understanding of movement processes and behaviours
  • Developing a movement analysis tool which will greatly enhance the management of endangered species and habitats, the control invasive species and pests and the prevention of pandemic infectious diseases

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LINK: http://p3.snf.ch/project-129963

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CONSEQUENCE

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SUMMARY

Over the few last years, network connectivity support in transportation systems has been one of the main research topics in computer networks engineering. Most of the research has been focused on routing mechanisms and on network mobility support, but there are still many other aspects to cover.

In this context, the CONSEQUENCE project aims to concentrate on two scenarios. The first scenario is network connectivity on trains, where high-speed trains have embedded femtocells that connect to the outside using the most suitable wireless technology at a given time, and that offer secure access to communication to the cellular phones and WiFi devices of the passengers. The second scenario is hybrid sensor and vehicular networks (HSVNs), where vehicle-to-vehicle communications and vehicle-to-roadside sensor communications are combined to obtain information about road state, weather conditions, traffic jams, crashes, potential dangers and so on, in order to improve road safety. This information must be exchanged in a secure, privacy-friendly, reliable way.

The issues in these scenarios can be grouped in four main areas:

  • Continuity of service
  • Quality of service (QoS) awareness
  • Security and identity
  • Privacy

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SOLUTIONS

  • Designing a bandwidth-efficient service for local information dissemination in sparse to dense roadways
  • Measuring the privacy of user profiles in Personalized Information Systems (PIS)
  • Developing a metric-based approach to assess risk for “On Cloud” federated identity management
  • Producing a dynamic framework with adaptive contention window and multipath routing for video-streaming services over mobile ad hoc networks
  • Constructing an event-driven, hybrid identity management approach to privacy enhanced e-Health

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LINK: http://consequence.it.uc3m.es/index.html

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Reliable Mobility Systems

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SUMMARY

This project aims to improve Holland’s traffic, transport and logistical systems. To this end, the project teams will develop a robust Smart infrastructure network which can mitigate the effects of local disruptions and enable synergies between road traffic and high-tech public transport. This will involve the design and application of an Intelligent Transport Systems (ITS) which will allow users to make informed transport medium and route choices based on real-time data. The team will also develop sustainable logistics solutions incorporating reliability, efficiency and environmental-friendliness.

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SOLUTIONS

  • Developing a Smart travel infrastructure for Holland which will maximise traffic flow and transport efficiency
  • Designing an Intelligent Transport Systems (ITS) based on wireless sensor networks enabling commuters to make informed transport decisions
  • Producing environmentally aware transport solutions

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LINK: http://www.tno.nl/content.cfm?context=thema&content=innovatiegebied&laag1=894&laag2=913&item_id=913

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MOVE

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SUMMARY

Recent years have seen advancements in new Intelligent Transportation Systems (ITS), designed to increase traffic efficiency and reduce economically detrimental commuting times. Such systems aim to maximize the use of the existing road infrastructure using smart navigation systems.

The aim of this project is to study and understand vehicular flow characteristics and to propose new uses for wireless communications technologies in reducing vehicular traffic congestion, enhancing commuter safety and reducing transport emissions. The project will make use of and develop new vehicular ad hoc networks (VANETs), systems which can be used to collect and distribute traffic metrics among local, wirelessly connected cars and road side units and provide advanced navigation services.

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SOLUTIONS

  • Investigating how and where traffic information, such as traffic speed, destination and density, can efficiently be retrieved from and communicated to vehicles
  • Specifying adapted routing and dissemination protocols to be able to cope with the changing dynamics of vehicular traffic
  • Designing Traffic Coordination Points (TCPs) can collect and evaluate traffic metrics for a given area and suggest, via the vehicular network, individual routes which minimise travel timeliness
  • Using TCP information to dynamically adapt the timings for the local traffic lights to maximize the vehicular throughput
  • Implementing a realistic simulation environment to evaluate the performance of the proposed system under different traffic scenarios
  • Validating a practical prototype under real traffic conditions in Luxembourg City using the existing “Hot City Mesh” as an infrastructure network

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LINK: http://www.fnr.lu/en/Research-Programmes/Research-Programmes/Projects/Mobility-Optimization-Using-Vehicular-Network-Technologies-MOVE

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Route Search over Probabilistic Geospatial Data

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SUMMARY

In recent years, systems that provide access to geographic information through a mobile phone or in a car-navigation unit have become common. Typically, these systems are a platform for Location-Based Services (LBS) such as location-aware search and point-to-point navigation. However, current geospatial search technologies are not flexible enough to deal with imprecise queries, such as “an Italian restaurant” or with time-dependent, variable information such as traffic data, parking availability and hazard alerts . Moreover, current technologies offer only rigid point-to-point route search and lack the ability to introduce a route that changes with response to the user’s feedback.

This project’s aim is to meet the challenges arising from the proliferation of Location-Based Services . The project team will develop a novel technology which will allow a sophisticated combination of quick location search and multi-points route search. The technology will be incorporated into an application which will enhance location-based systems by allowing more flexible route planning, easier integration of real-time data from multiple sources and interactive route search.

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SOLUTIONS

  • Developing a more accurate navigation tool for LBS end-users

  • Integrating of location-related data in real-time

  • Conducting of user interactive route search

  • Reducing implementation costs for service providers and increasing revenue from commercial promotions.

  • Imbuing the application with efficiency and scalability in order to resolve queries immediately over large amounts of data

  • Enabling the processing and integration heterogeneous data from multiple sources, such as flower store location from yellow pages, and traffic data from a news website

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LINK: http://www.yissum.co.il/technologies/project/10-2009-2331

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Future Cities

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SUMMARY

To improve quality of life and ensure sustainability, future smart cities will increasingly rely on information and communications technology to optimise the performance of transportation, security, business, telecommunications, water-management, and energy-supply systems. DSG’s FutureCities research project is investigating the design of the middleware needed to support such cities.

The FuturCities project is focused on the exploitation of data from very diverse sensors, including those contributed by individuals, to enable (semi) automatic management of city-scale services. In particular, the project team is investigating the design of new programming models, middleware architectures, communication infrastructures, and advanced analytics to allow sensor data to be gathered, transported, and interpreted effectively to optimise urban resource usage and service delivery, and thereby improve the quality of life and sustainability of cities.

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SOLUTIONS

Current research is focused in four areas:

  • Smart urban-scale sensing addresses middleware and communications architectures to allow high volumes of data from both public and user-contributed sensors to be gathered and exploited by smart cities. This area merges wireless sensor networks, vehicular sensor networks, and participatory sensing.
  • Smart infrastructure addresses the management of urban-scale critical infrastructure, with a particular interest in autonomic management techniques modelled as self-organising multi-agent systems that exploit model-free learning algorithms to associate meaning and actions with available sensor data.
  • Smart transportation focuses on improving the reliability and safety of road transportation, in particular via advanced urban traffic control and highway management systems.
  • Smart Services addresses middleware for adaptable software services, providing run-time statistical timing analysis, timely reconfiguration, and a software framework for cross-layer adaptation of multi-layer systems

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LINK: http://www.dsg.cs.tcd.ie/FutureCities

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EVE

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SUMMARY

The EVE – Electric Vehicle Systems Programme is aimed at companies and research institutes that work with electric vehicles and machinery and the components and systems used in them. The long-term goal of the project is to increase the volume of business activity related to electric vehicles and machinery from the 2010 figure of EUR 200 million to approximately EUR 2 billion by 2020.

The aim of the EVE programme is to create a community of electric vehicle and support system developers with close contacts to international research and business networks. The project also focuses on developing test environments and standards for the industry.

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SOLUTIONS

  • Providing funding for projects in the area of Electric Vehicle Systems
  • Holding seminars and workshops to facilitate knowledge and technology transfer
  • Publishing studies from Finland and abroad
  • Arranging excursions and opportunities for networking to strengthen inter-industry synergies
  • Financing test environments

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LINK: http://www.tekes.fi/en/programmes-and-services/tekes-programmes/eve/

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ENERPLAN

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SUMMARY

The ENERPLAN project seeks to develop intelligent IT-based planning tools for running the transportation sector, reducing energy consumption and environmental impact. The project will also design decision tools for customers which highlight the environmental impact of various transportation solutions. Research is carried out in cooperation with some of the leading transportation companies, ensuring that the developed methods will have a significant impact on the CO2 emission.

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SOLUTIONS

  • Designing decision tools for planning a route network such that a higher load factor can be achieved, algorithms for filling containers and vessels more efficiently, and methods for finding more efficient distribution paths
  • Developing pervasive computing methods using RFID and hand-held devices which will be used to integrate all of these approaches and provide decision support to sudden changes, such that superfluous energy consumption can be avoided.

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LINK: http://itu.dk/en/Forskning/Forskningsprojekter/ENERPLAN

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FInest

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SUMMARY

Future Internet (FI) technology offers unique opportunities for the transport and logistics industry to address pressing challenges associated with international freight transport, including business efficiency, competitiveness and environmental sustainability.

To address those challenges, FInest (an EU FP7 Future Internet PPP use case project) leverages FI technology to the benefit of all transport and logistics partners. It offers novel Web 2.0 business-to-business collaboration facilities which seamlessly link third-party and legacy applications to create customized solutions, allowing for the “on demand” management of shipments and supply chains. Through software prototypes, FInest aims to contribute to the development of a rich service ecosystem whose value also extends to other domains such as smart cities and agriculture.

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SOLUTIONS

  • Designing a future-Internet-enabled, standardised business-to-business collaboration platform, which builds on generic FI enablers
  • Developing four core transport and logistics services offered through open-source APIs : (1) collaboration services, (2) semi-automated e-contracting services, (3) intelligent and proactive “sense and respond” event management services, (4) real-time planning and re-planning services.
  • Running large-scale trials of the FInest solutions in Europe’s leading edge experimental facilities

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LINK: http://www.finest-ppp.eu/

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