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Multi-objective Optimization Coordination for Urban Arterial Roadway Based on Operational-Features
Abstract In this paper, a new coordinated control model is proposed based on the vehicular operational features, and a multi-objective optimization algorithm NSGA-II is employed to the model for the operation of the vehicle traveling on an urban arterial road taking three evaluation indexes into consideration as the average vehicle delay, the queue length, and the vehicle exhaust emission. A numerical experiment was made in an urban arterial road with three intersections on VISSIM for the proposed strategy, and the simulation results were compared with two commonly used pre-timed methods: Webster’s method and MAXBAND coordinated control method to verify the effectiveness of the proposed strategy in dealing with the unbalanced traffic volume condition, and it proved its advantages in designing and managing traffic systems more efficiently.
Multi-objective Optimization Coordination for Urban Arterial Roadway Based on Operational-Features
Abstract In this paper, a new coordinated control model is proposed based on the vehicular operational features, and a multi-objective optimization algorithm NSGA-II is employed to the model for the operation of the vehicle traveling on an urban arterial road taking three evaluation indexes into consideration as the average vehicle delay, the queue length, and the vehicle exhaust emission. A numerical experiment was made in an urban arterial road with three intersections on VISSIM for the proposed strategy, and the simulation results were compared with two commonly used pre-timed methods: Webster’s method and MAXBAND coordinated control method to verify the effectiveness of the proposed strategy in dealing with the unbalanced traffic volume condition, and it proved its advantages in designing and managing traffic systems more efficiently.
Multi-objective Optimization Coordination for Urban Arterial Roadway Based on Operational-Features
Qiao, Feng (Autor:in) / Sun, Haochen (Autor:in) / Guo, Lingzhong (Autor:in) / Song, Haolin (Autor:in) / Wang, Zhaoyan (Autor:in)
01.01.2019
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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