145 research outputs found

    NEARCTIS: Excellence in cooperative traffic management, role of technologies

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    This presentation gives an overview of the NEARCTIS project and the role of new technologies (navigation, positioning, communication) in the cooperative traffic management

    Investigating the Efficiency of ITS Cooperative Systems for a Better Use of Urban Transport Infrastructures: The iTETRIS Simulation Platform

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    The use of cooperative ITS communication systems, supporting driving through the dynamic exchange of Vehicle-to- Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) messages, is a potential candidate to improve the economical and societal welfare. The application of such systems for novel cooperative traffic management strategies can introduce a lot of beneficial effects not only for road safety, but also for the economy related to transportation systems and the environmental impact. Despite this apparent set of promising features, City Road Authorities, which hold a key-role in determining the final adoption of such systems, still look at cooperative systems without sharing a clear opinion. This is mainly due to the current lack of definitive and solid evidences of the effectiveness of such systems when applied in the real world. In order to fill this gap and let Road Authorities estimate the usefulness of such technologies in achieving the objectives dictated by cities’ traffic management policies, the EU consortium iTETRIS is developing a simulation platform for large scale testing of traffic management solutions making use of cooperative ITS systems. Thanks to its own distinguishing features, iTETRIS aims at becoming a good supporting tool for Road Authorities to implement preliminary tests on the effectiveness of ITS solutions prior to investing money for the physical deployment of the communication infrastructures allowing their functioning

    COM2REACT: V2V COMMUNICATION FOR COOPERATIVE LOCAL TRAFFIC MANAGEMENT

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    International audienceThe European project COM2REACT aims at building a local cooperative traffic management system through a peer-to-peer application, the Virtual Sub-Center (VSC), based on vehicle-to-vehicle (V2V) communication. COM2REACT is an enhancement of the REACT system, which relies on a central server that gathers data from probe vehicles, aggregates and analyzes them by an integrated set of models, and generates both vehicle-specific recommendations and information for relevant authorities. This additional collaborative layer will increase the reactivity of the system and avoid an overload of communication and of the central server with information only relevant at a local level. The goal of this paper is to give the reader an overview of the new technologies developed to reach the ambitious goals of COM2REACT: V2V communication, VSC and local traffic applications

    iTETRIS Platform Architecture for the Integration of Cooperative Traffic and Wireless Simulations

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    The use of cooperative wireless communications can support driving through dynamic exchange of Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) messages. Traffic applications based on such systems will be able to generate a safer, faster, cheaper and cleaner way for people and goods to move. In this context, the iTERIS project aims at providing the framework to combine traffic mobility and wireless communication simulations for large scale testing of traffic management solutions based on cooperative systems. This paper addresses the description and explanation of the implementation choices taken to build a modular and interoperable architecture integrating heterogeneous traffic and wireless simulators, and application algorithms supporting traffic management strategies. The functions of an “in-between” control system for managing correct simulation executions over the platform are presented. The inter-block interaction procedures identified to ensure optimum data transfer for simulation efficiency are also introduced

    A framework for self-enforced optimal interaction between connected vehicles

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    This paper proposes a decision-making framework for Connected Autonomous Vehicle interactions. It provides and justifies algorithms for strategic selection of control references for cruising, platooning and overtaking. The algorithm is based on the trade-off between energy consumption and time. The consequent cooperation opportunities originating from agent heterogeneity are captured by a game-theoretic cooperative-competitive solution concept to provide a computationally feasible, self-enforced, cooperative traffic management framework

    Autonomous vehicles: theoretical and practical challenges

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    Parte do nĂşmero especial XIII Conference on Transport Engineering (CIT 2018)[Abstract:] Autonomous driving is expected to revolutionize road traffic attenuating current externalities, especially accidents and congestion. Carmakers, researchers and administrations have been working on autonomous driving for years and significant progress has been made. However, the doubts and challenges to overcome are still huge, as the implementation of an autonomous driving environment encompasses not only complex automotive technology, but also human behavior, ethics, traffic management strategies, policies, liability, etc. As a result, carmakers do not expect to commercially launch fully driverless vehicles in the short-term. From the technical perspective, the unequivocal detection of obstacles at high speeds and long distances is one of the greatest difficulties to face. Regarding traffic management strategies, all approaches share the vision that vehicles should behave cooperatively. General V2V cooperation and platooning are options being discussed, both with multiple variants. Various strategies, built from different standpoints, are being designed and validated using simulation. Besides, legal issues have already been arisen in the context of highly-automated driving. They range from the need for special driving licenses to much more intricate topics like liability in the event of an accident or privacy issues. All these legal and ethical concerns could hinder the spread of autonomous vehicles once technologically feasible. This paper provides an overview of the current state of the art in the key aspects of autonomous driving. Based on the information received in situ from top research centers in the field and on a literature review, authors highlight the most important advances and findings reached so far, discuss different approaches regarding autonomous traffic and propose a framework for future research.Ministerio de EconomĂ­a y Competitividad; TRA2016-79019-

    WIRELESS COMMUNICATION IN COOPERATIVE URBAN TRAFFIC MANAGEMENT

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    The possibility to enable cooperative concept in urban traffic systems is challenging because of large amount of traffic data that must be collected, processed and distributed to end users. The main objective is to establish communication between three main subsystems of traffic system: driver, vehicle and infrastructure so that they can cooperate in real time traffic environment. This paper describes various wireless communication technologies that can be used to achieve real time dana exchange, and potential problems and limitations. Internet of Things (IoT) concept can be used as supportive concept for collection, processing and distribution of traffic data with one main goal – to increase urban traffic system quality in overall

    WIRELESS COMMUNICATION IN COOPERATIVE URBAN TRAFFIC MANAGEMENT

    Get PDF
    The possibility to enable cooperative concept in urban traffic systems is challenging because of large amount of traffic data that must be collected, processed and distributed to end users. The main objective is to establish communication between three main subsystems of traffic system: driver, vehicle and infrastructure so that they can cooperate in real time traffic environment. This paper describes various wireless communication technologies that can be used to achieve real time dana exchange, and potential problems and limitations. Internet of Things (IoT) concept can be used as supportive concept for collection, processing and distribution of traffic data with one main goal – to increase urban traffic system quality in overall
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