iTETRIS: An Integrated Wireless and Traffic Platform for Real-Time Road Traffic Management Solutions

Wireless vehicular cooperative systems have been identified as an attractive solution to improve road traffic management, thereby contributing to the European goal of safer, cleaner, and more efficient and sustainable traffic solutions. V2V-V2I communication technologies can improve traffic management through real-time exchange of data among vehicles and with road infrastructure. It is also of great importance to investigate the adequate combination of V2V and V2I technologies to ensure the continuous and costefficient operation of traffic management solutions based on wireless vehicular cooperative solutions. However, to adequately design and optimize these communication protocols and analyze the potential of wireless vehicular cooperative systems to improve road traffic management, adequate testbeds and field operational tests need to be conducted. Despite the potential of Field Operational Tests to get the first insights into the benefits and problems faced in the development of wireless vehicular cooperative systems, there is yet the need to evaluate in the long term and large dimension the true potential benefits of wireless vehicular cooperative systems to improve traffic efficiency. To this aim, iTETRIS is devoted to the development of advanced tools coupling traffic and wireless communication simulators

COLOMBO Deliverable 6.3: Exploitation Plan

The aim of this document is to indicate how the results of COLOMBO can be exploited. The document does not only focus on the duration of the project, but also assesses the possibilities beyond the end at 31st of October 2015. A good reference for the exploitability of the COLOMBO results is the Technology Readiness Level (TRL), which is used in the document to indicate the maturity and marketability of the results. COLOMBO detection algorithms were developed for several situations. Data fusion between green phase duration and travel times from for instance navigation systems, can give useful estimates of traffic volumes. Full cooperative vehicles can give both queue estimates and traffic flow estimations and a work is being carried out on a separate traffic anomalies detection algorithm. Apart from the detection and traffic control algorithms, COLOMBO also developed and improved simulation tooling to facilitate the work in the project. The document also reviewed exploitation from a stakeholder perspective. Road operators and governments will profit from the availability of a lower cost alternative to current traffic control solutions both in initial investment and maintenance. Road users benefit from more efficient traffic control, resulting in lower travel time and fuel savings. Having a cooperative system in the vehicle also guarantees the queue the road user currently is in, has been detected by the controller. Therefore, cooperative vehicles are expected to have a lower average travel time. Traffic engineers, consultants, industry and researchers benefit from the (open source) tooling released by COLOMBO for their work

iTETRIS: the Framework for Large-Scale Research on the Impact of Cooperative Wireless Vehicular Communications Systems in Traffic Efficiency

Cooperative vehicular ICT systems have been identified as an attractive technology to improve traffic management and safety, while providing Internet on the move. To achieve these objectives, cooperative vehicular communication systems allow the dynamic exchange of messages between vehicles, and between vehicles and infrastructure. To ensure the efficiency of cooperative vehicular ICT systems, it is crucial that the communication protocols are adequately designed and optimised, and that the applications using such communication capabilities are tested under realistic conditions. In this context, this paper presents the EU-funded iTETRIS platform that is being created to allow for a realistic and accurate evaluation of the design and impact of cooperative vehicular communication systems and traffic management policies under realistic large-scale scenarios