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Multi-objective Optimization Coordination for Urban Arterial Roadway Based on Operational-Features

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Advancements in Smart City and Intelligent Building (ICSCIB 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 890 ))

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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.

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Acknowledgements

This research is partially supported by the National Natural Science Foundation of China (No. 61703288).

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Correspondence to Feng Qiao .

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Qiao, F., Sun, H., Guo, L., Song, H., Wang, Z. (2019). Multi-objective Optimization Coordination for Urban Arterial Roadway Based on Operational-Features. In: Fang, Q., Zhu, Q., Qiao, F. (eds) Advancements in Smart City and Intelligent Building. ICSCIB 2018. Advances in Intelligent Systems and Computing, vol 890 . Springer, Singapore. https://doi.org/10.1007/978-981-13-6733-5_30

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  • DOI: https://doi.org/10.1007/978-981-13-6733-5_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6732-8

  • Online ISBN: 978-981-13-6733-5

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