2016IET Intelligent Transport SystemsRequires access

Control strategies for solving the problem of traffic congestion

Yi‐Sheng Huang, Yi‐Shun Weng, Weimin Wu, Boyang Chen

Open publisher page 26 citations

Abstract

Once a road is with a high traffic density over its loading, the traffic management has to face the fact that how to alleviate the traffic congestion and how to prevent new traffic jams from being happening in the neighbourhood. This study presents a new control strategy for alleviating the traffic congestion. For this purpose, the authors employ VISSIM to simulate and analyse of an urban traffic congestion problem. In addition, two kinds of traffic light orders are involved. On the other hand, an urban traffic network with three kinds of intersection is used to evaluate their new congestion control policy. Finally, they also demonstrate three scenario cases low, middle, and heavy traffic flow works to compare with normal regular traffic light control rules, the multiline control strategies and their new control policy. Simulation results show that their new proposed traffic control policy is the best one among the others. It is worthy of note that their new proposed policy not only alleviates successfully the congestion problem but also prevents new traffic jams from being happening in the neighbourhood.

About this research paper

What this paper is about

Once a road is with a high traffic density over its loading, the traffic management has to face the fact that how to alleviate the traffic congestion and how to prevent new traffic jams from being happening in the neighbourhood. This study presents a new control strategy for alleviating the traffic congestion. For this purpose, the authors employ VISSIM to simulate and analyse of an urban traffic congestion problem. In addition, two kinds of traffic light orders are involved. On the other hand, an urban traffic network with three kinds of intersection is used to evaluate their new congestion control policy. Finally, they also demonstrate three scenario cases low, middle, and heavy traffic flow works to compare with normal regular traffic light control rules, the multiline control strategies and their new control policy. Simulation results show that their new proposed traffic control policy is the best one among the others. It is worthy of note that their new proposed policy not only alleviates successfully the congestion problem but also prevents new traffic jams from being happening in the neighbourhood.

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OpenAlex reports 26 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Once a road is with a high traffic density over its loading, the traffic management has to face the fact that how to alleviate the traffic congestion and how to prevent new traffic jams from being happening in the neighbourhood. This study presents a new control strategy for alleviating the traffic congestion. For this purpose, the authors employ VISSIM to simulate and analyse of an urban traffic congestion problem. In addition, two kinds of traffic light orders are involved. On the other hand, an urban traffic network with three kinds of intersection is used to evaluate their new congestion control policy. Finally, they also demonstrate three scenario cases low, middle, and heavy traffic flow works to compare with normal regular traffic light control rules, the multiline control strategies and their new control policy. Simulation results show that their new proposed traffic control policy is the best one among the others. It is worthy of note that their new proposed policy not only alleviates successfully the congestion problem but also prevents new traffic jams from being happening in the neighbourhood.

Key concepts: VisSim, Traffic congestion reconstruction with Kerner's three-phase theory, Traffic bottleneck, Traffic congestion, Transport engineering, Traffic optimization, Computer science, Network traffic control

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