Citation

Ma M, Liang S. PLoS One 2018; 13(9): e0204255.

Affiliation

Business School, University of Shanghai for Science and Technology, Shanghai, China.

Copyright

(Copyright © 2018, Public Library of Science)

DOI

10.1371/journal.pone.0204255

PMID

30265696

Abstract

Traffic congestion in freeway network is a prevalent transportation problem and leads to a strong degradation of freeway network facilities. This paper proposes a new coordinated optimization approach for freeway network, aiming to relieve the traffic congestion in freeway network equipped with the coordinated traffic controllers. The challenge is how to solve the problem between the traffic control goals of each path and those of the network. In this paper, the bi-level programming theory is used to address this problem. More exactly, in the path level, the optimal control model is designed to relieve congestion in each path of the test network. Furthermore, in the network level, the optimal model considers the traffic equilibrium and cost optimization. The efficiency of the proposed approach is tested on a well-known traffic network calibrated by the field test data of freeway network. The results show that the proposed approach has positive effects in balancing traffic load and improving the service level of freeway networks.

Language: en