Distributed Weighted Balanced Control of Traffic Signals for Urban Traffic Congestion

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...

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Bibliographic Details
Published inIEEE transactions on intelligent transportation systems Vol. 20; no. 10; pp. 3710 - 3720
Main Authors Wu, Na, Li, Dewei, Xi, Yugeng
Format Journal Article
LanguageEnglish
Published New York IEEE 01.10.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Aerospace electronics
Balance
Control systems
Decentralized control
distributed control
Driving conditions
Optimization
Performance indices
Real-time systems
Roads
Roads & highways
Space vehicles
Traffic capacity
Traffic congestion
Traffic control
Traffic flow
Traffic information
traffic process ability
Traffic signals
Transportation networks
Urban areas
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Summary: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.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2018.2878001