Acronym: DRIVE-IT
Project Title: Dynamic Routing of Interconnected Vehicles and Intelligent Traffic Lights
Duration: 24 μήνες (04/06/2018 - 03/06/2020)

Description: The DRIVE-IT project aims to create a technologically advanced system that will guide vehicles to their destination using dynamic routing in a distributed way. The proposed research project deals with the development of a modern vehicle routing system that is evolved dynamically by integrating in real-time new or updated information from sensors on the road network. The main goal of the proposed system is to effectively guide vehicles using real-time information and to ensure various operational constraints. The Project is taking advantage of the emerging technologies of car-to-car mobile communication networks (VANETS: Vehicle Ad hoc Networks) as well as Internet of Things (IoT) in order to create a high performance routing system. In particular, intelligent system installations will be developed and installed at traffic lights in order to indicate the next route (road selection) for each vehicle based on the queues of vehicles appearing on the road network and on the time of accessibility to each road. Hence, vehicles will communicate through the extensive use of wireless communication devices to be informed of the next "best" road selection in order to reach their destination. The proposed system is expected to achieve reductions in travel time and in the emissions generated from vehicles.

Objectives: DRIVE-IT focuses on vehicle automation and supports road traffic using dynamic distributed algorithms to provide optimal routing of different type of vehicles (such as fleet of vehicles, electric vehicles, conventional cars, public transport) following a collaborative optimization model.
For further information, please visit the DRIVE-IT website.

HIT key role and responsibilities: Partner
CΕRΤΗ/ΗΙΤ is a member of the consortium and works with AUTh and DRAXIS S.A, an environmental ICT solutions company. In particular, HIT is responsible for developing the vehicle routing algorithm (that provides the optimum sequence of customers to be served based on their operational constraints) as well as for pilot testing activities to examine how the proposed system deals with friendly to the environment vehicles.

Contact persons:
Dr. Afroditi Anagnostopoulou
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+30 212 1069 828

Aggelos Aggelakakis
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+30 231 0498 485