Urban Traffic Eco-Driving: Speed Advisory Tracking

Giovanni de Nunzio (1, 2) , Carlos Canudas de Wit (2) , Philippe Moulin (1)

1 IFPEN - IFP Energies nouvelles
2 NECS - Networked Controlled Systems

The evaluation of the benefits of an Eco-Driving assistance system is carried out in the urban environment in presence of traffic lights. The traffic evolution is modeled macroscopically with the Urban Variable-Length Model in a variable speed limits framework. Under the assumption of equal boundary flows, the vehicles in a road section dispose themselves according to well defined equilibrium conditions which are dependent on the traveling speed in the free-flow part of the section. Given certain initial traffic conditions, an optimal speed limit for the section can be found in order to drive the system to an efficient equilibrium state. Further analysis of the equilibrium conditions and the stability properties of the system is conducted in this work. The system is proved to be controllable, under the working hypotheses, and a controller is designed to simulate the response of the drivers compliant to the eco-speed advisory. A sub-optimal control strategy is finally proposed also in the case of unequal boundary flows.

Mots clés: Traffic Lights; Optimal Speed Advisory; Variable Speed Limits; Traffic modeling

Domaines: Ingénierie assistée par ordinateur

Giovanni de Nunzio, Carlos Canudas de Wit, Philippe Moulin. Urban Traffic Eco-Driving: Speed Advisory Tracking. CDC 2014 - 53rd IEEE Conference on Decision and Control, Dec 2014, Los Angeles, United States. ⟨10.1109/CDC.2014.7039651⟩. ⟨hal-01101280⟩