Citation

Li ZC, Ge XY. J. Adv. Transp. 2014; 48(8): 1066-1086.

Copyright

(Copyright © 2014, Institute for Transportation, Publisher John Wiley and Sons)

DOI

10.1002/atr.1246

PMID

unavailable

Abstract

Traffic signal timings in a road network can not only affect total user travel time and total amount of traffic emissions in the network but also create an inequity problem in terms of the change in travel costs of users traveling between different locations. This paper proposes a multi-objective bi-level programming model for design of sustainable and equitable traffic signal timings for a congested signal-controlled road network. The upper level of the proposed model is a multi-objective programming problem with an equity constraint that maximizes the reserve capacity of the network and minimizes the total amount of traffic emissions. The lower level is a deterministic network user equilibrium problem that considers the vehicle delays at signalized intersections of the network. To solve the proposed model, an approach for normalizing incommensurable objective functions is presented, and a heuristic solution algorithm that combines a penalty function approach and a simulated annealing method is developed. Two numerical examples are presented to show the effects of reserve capacity improvement and green time proportion on network flow distribution and transportation system performance and the importance of incorporating environmental and equity objectives in the traffic signal timing problems. Copyright © 2013 John Wiley & Sons, Ltd.

Language: en