Citation

Wu N, Li DE, Xi Y. IEEE Trans. Intel. Transp. Syst. 2019; 20(10): 3710-3720.

Copyright

(Copyright © 2019, IEEE (Institute of Electrical and Electronics Engineers))

DOI

10.1109/TITS.2018.2878001

PMID

unavailable

Abstract

Since urban traffic congestion has become a major problem for big cities in recent years, we propose a distributed control scheme for traffic lights in the network. First, a new criterion called traffic process ability which implies the balance between the traffic demand and traffic capacity of each road is introduced. Moreover, the congestion of a road is mitigated by utilizing the traffic process ability of the neighbors more effectively, where different weights are assigned to roads in each agent according to their importance or the real-time traffic conditions. As only local information is needed, a distributed control scheme in which the road network is divided among several agents is proposed. Furthermore, in order to accelerate the congestion dissipation process, the aggregated state of each agent is introduced into the performance index and balanced with its neighboring agents. The control signals are calculated by agents in a parallel way and the optimization problem is solved iteratively to reach a convergence. Finally, the effectiveness of the proposed control scheme is evaluated by simulation under different scenarios and the performance is compared with the traffic responsive control method SCOOT.

Language: en

Keywords

Aerospace electronics; Balance; congestion dissipation process; control signals; Decentralized control; distributed control; distributed control scheme; iterative methods; neighboring agents; optimisation; Real-time systems; real-time traffic conditions; road network; road traffic control; Roads; Space vehicles; traffic capacity; traffic congestion; traffic demand; traffic lights; traffic process ability; traffic responsive control method SCOOT; traffic signals; Urban areas; urban traffic congestion; weighted balanced control