JOURNAL ARTICLE

Balance traffic control in urban traffic networks based on distributed optimization

Abstract

In urban traffic networks, the unbalanced traffic distribution is one of the main factors leading to traffic congestion. In this paper, by following the idea of consensus, we propose a distributed control strategy to reach local consensus for the links thus to balance the traffic of the whole network. In view of the spatial and temporal characteristics of congestion propagation, the states of links are optimized to reach consensus with their neighbors. The simple linear model makes it possible for the algorithm to implement in large scale urban traffic networks. Furthermore, being realised in a distributed way, the extendibility and flexibility of the control strategy is achieved. At last, our control scheme shows the effectiveness in comparison with fixed-time signal control by conducting it in Corsim software.

Keywords:
Flexibility (engineering) Computer science Traffic optimization Traffic congestion Traffic congestion reconstruction with Kerner's three-phase theory Traffic generation model Network traffic control Distributed computing Control (management) Floating car data Computer network Engineering Transport engineering Artificial intelligence

Metrics

1
Cited By
0.24
FWCI (Field Weighted Citation Impact)
11
Refs
0.64
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Traffic control and management
Physical Sciences →  Engineering →  Control and Systems Engineering
Transportation Planning and Optimization
Social Sciences →  Social Sciences →  Transportation
Traffic Prediction and Management Techniques
Physical Sciences →  Engineering →  Building and Construction

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