Qiao, F., Sun, H., Guo, L. et al. (2 more authors) (2019) Multi-objective optimization coordination for urban arterial roadway based on operational-features. In: Fang, Q., Zhu, Q. and Qiao, F., (eds.) Advancements in Smart City and Intelligent Building. International Conference on Smart City and Intelligent Building , 15-16 Sep 2018, Hefei, China. Advances in Intelligent Systems and Computing, 890 . Springer , pp. 321-332. ISBN 9789811367328
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.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Editors: |
|
Copyright, Publisher and Additional Information: | © Springer Nature Singapore Pte Ltd. 2019. This is an author-produced version of a paper subsequently published in Advancements in Smart City and Intelligent Building (AISC, volume 890). Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Multi-objective optimization; Coordinated control; Urban arterial road; Vehicle delay; Queue length; Exhaust emission |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 05 Jun 2019 13:24 |
Last Modified: | 03 Apr 2020 00:39 |
Status: | Published |
Publisher: | Springer |
Series Name: | Advances in Intelligent Systems and Computing |
Refereed: | Yes |
Identification Number: | 10.1007/978-981-13-6733-5_30 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:146921 |