Project description
New tools for a dynamic management of multimodal traffic operations
Transport is at a crossroad. The sector is paved with disruptive technologies and mobility solutions designed to revolutionise transport networks and traffic management. The EU-funded TANGENT project will develop new tools to improve traffic operations in a coordinated way, considering automated and non-automated vehicles, passengers, and freight transport. TANGENT will research advanced techniques on modelling and simulation, such as simulation models for future demand and supply of transport; optimisation techniques for balancing demand flows; and modelling users' travel behaviour. A set of applications for decision-making support will be delivered to provide traffic management recommendations and to support transport authorities in their design of network-wide optimal strategies. Case studies will be conducted in France, Portugal, the UK and Greece.
Objective
The European transport faces major challenges in terms of safety, greenhouse gas emissions, traffic congestion and its derived costs. In addition, the development of disruptive technologies and emergence of new mobility solutions generate a revolution in transport network and traffic management.
In this context, TANGENT aims to develop new complementary tools for optimising traffic operations in a coordinated and dynamic way from a multimodal perspective and considering automated/non-automated vehicles, passengers and freight transport.
TANGENT will research on advanced techniques on modelling and simulation, such as prediction and simulation models for future demand & supply of transport; optimisation techniques for balancing the demand flows between the means of transport; and users travel behaviour modelling.
As result, a set of applications for decision-making support will be delivered creating a framework for coordinated traffic and transport management, encompassing an enhanced mobility information service and dashboard with associated APIs and advanced functionalities with a two-fold approach: to provide real-time traffic management recommendations and to support Transport Authorities to design network-wide optimal strategies. The framework also aims at supporting a multi-actor cooperation approach for transport network management by enabling communication channels. In this way, the services target to different actors in traffic management.
The results will be tested in three case studies: Rennes (FR), Lisbon (PT), Great Manchester (UK) and a virtual case study in Athens (HE)with real data from various modes of transport, under different traffic events such as bottlenecks, accidents, pedestrian flow etc.
The impact will be assessed to reach expected reduction targets of 10% in travel time, 8-10% in CO2 emissions, 5% of accidents, 5-10% increase in use public transport and use of active modes or 10% of economic costs due to a more efficient management.
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Funding Scheme
RIA - Research and Innovation actionCoordinator
48007 Bilbao
Spain