Partial and Local Knowledge for Global Efficiency of Urban Vehicular Traffic

Marie-Ange Lebre (1, 2) , Frédéric Le Mouël (2) , Eric Ménard (1)

1 VALEO - Valeo Advanced Technology Development
2 DYNAMID - Dynamic Software and Distributed Systems

Intelligent transportation systems that distribute information between roadside infrastructures and vehicles are one of the most promising solutions to the problem of traffic congestion. When most existing ITS solutions are centralized and information-complete, we propose PDLAIS-a Partial, Decentralized and Locally Autonomous Strategy, tested with an application called Smooth Way, allowing drivers to customize and improve their travel time and/or fuel consumption when traveling. Our study shows that, with only 2% of independently equipped intersections, a global improvement in the fuel consumption induces a reduction of 10% of the total travel time and 25% of the global waiting time. Local decisions with pertinent partial knowledge of the network are still 5 − 7% close to the performance of a centralized solution.

Mots clés: Intelligent Transportation Systems; Vehicular Net-works; V2I; Local; Partial and Global Optimization

Domaines: Système d'exploitation [cs.OS]; Informatique [cs]

Marie-Ange Lebre, Frédéric Le Mouël, Eric Ménard. Partial and Local Knowledge for Global Efficiency of Urban Vehicular Traffic. IEEE 82nd Vehicular Technology Conference (VTC'2015-Fall), Sep 2015, Boston, United States. ⟨hal-01180507⟩