Traffic-adaptive Signal Control and Vehicle Routing Using a Decentralized Back-pressure Method
Paper in proceedings, 2015

The problem of controlling traffic lights under adaptive routing of vehicles in urban road networks is considered. Multi-commodity back-pressured algorithms, originally developed for routing and scheduling in communication networks, are applied to road networks to control traffic lights and adaptively reroute vehicles. The performance of the algorithms is analyzed using a microscopic traffic simulator. The results demonstrate that the proposed signal control and adaptive routing algorithms can provide significant improvement over a fixed schedule and a single-commodity back-pressure signal controllers, in terms of various performance metrics, including queue-length, trips completed, and travel times.

Author

Ali Abbas Syed Zaidi

Chalmers, Signals and Systems, Systems and control, Automatic Control

Balázs Adam Kulcsár

Chalmers, Signals and Systems, Systems and control, Automatic Control

Henk Wymeersch

Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner, Communication Systems

In proceedings of European Control Conference, ECC’15, July 15-17, Linz, Austria

3029-3034

Areas of Advance

Transport

Subject Categories

Control Engineering

DOI

10.1109/ECC.2015.7330998

ISBN

9783952426937

More information

Created

10/7/2017