How is it achieved?
TANGENT will research on advanced modelling and simulation techniques, such as: prediction and simulation models to identify future transportation demand and supply; optimization techniques to balance the flows of demand between the different means of transport; and the modelling of users’ travel behaviour.
TANGENT will deliver a set of applications for decision-making support creating a framework for coordinated traffic and transport network management, encompassing an enhanced mobility information service API and dashboard. The services will deliver real-time traffic management recommendations and will support transport authorities in designing optimal strategies for the entire transport network, for that, real time information and preductive information on the transport network will be handled. Different hypothetical scenarios will also be addressed in which different response plans will be studied.
TANGENT will tested in the cities of Rennes, Lisbon, Manchester and Athens.
What was our contribution?
At Deusto we lead research on the transport network optimization using Artificial Intelligence techniques, which aims to support transport authorities in making decisions at a strategic and tactical level. The module will use the current state of the traffic, as well as the predictions and simulations of the future evolution of the traffic to determine the best possible actions that can be taken according to the restrictions and the scenarios considered by the transport operators. The restrictions refer to aspects such as the capacity of the entire transport system, the maturity of the digital infrastructure, the adaptability of the transport offer, environmental conditions, etc. Among the management strategies are traffic control, balancing transport demand, incentives for the use of public transport. Indicar disclaimer:
This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement Nº 955273