FRONTIER
Next generation traffic management for empowering CAVs integration, cross-stakeholders collaboration and proactive multi-modal network optimization
Research projects Network and Demand Traffic Management
European transport faces major challenges in terms of safety, emissions, and congestion; alongside this, disruptive technologies and emerging mobility solutions are generating 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 advanced techniques in 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.
Aimsun will have a key role in research and modelling on capturing behaviours related to travel demand and supply prediction, extending the traffic simulation software and modelling capabilities with data-driven models for more efficient and reliable performance. Support will be also provided for the exploitation of traffic simulation for network-wide optimization.
The Aimsun team will also contribute to the integration and development of TANGENT decision-making support tool for coordinated traffic and transport management as well as to the development of the baseline traffic simulation demonstrations, implementation of scenarios for multimodal traffic management and services in a simulation environment.
Next generation traffic management for empowering CAVs integration, cross-stakeholders collaboration and proactive multi-modal network optimization
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