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Control strategies for solving the problem of traffic congestion
Author(s) -
Huang YiSheng,
Weng YiShun,
Wu Weimin,
Chen BoYang
Publication year - 2016
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2016.0003
Subject(s) - vissim , traffic congestion reconstruction with kerner's three phase theory , traffic bottleneck , traffic congestion , transport engineering , traffic optimization , computer science , network traffic control , traffic flow (computer networking) , intersection (aeronautics) , traffic policing , network congestion , control (management) , traffic wave , traffic conflict , floating car data , traffic shaping , computer network , engineering , artificial intelligence , network packet
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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