Genetic Algorithm for Multiple Bus Line Coordination on Urban Arterial
Joint Authors
Wang, Wei
Yang, Zhen
Ding, Haoyang
Li, Xiaowei
Chen, Shuyan
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-13
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Bus travel time on road section is defined and analyzed with the effect of multiple bus lines.
An analytical model is formulated to calculate the total red time a bus encounters when travelling along the arterial.
Genetic algorithm is used to optimize the offset scheme of traffic signals to minimize the total red time that all bus lines encounter in two directions of the arterial.
The model and algorithm are applied to the major part of Zhongshan North Street in the city of Nanjing.
The results show that the methods in this paper can reduce total red time of all the bus lines by 31.9% on the object arterial and thus improve the traffic efficiency of the whole arterial and promote public transport priority.
American Psychological Association (APA)
Yang, Zhen& Wang, Wei& Chen, Shuyan& Ding, Haoyang& Li, Xiaowei. 2015. Genetic Algorithm for Multiple Bus Line Coordination on Urban Arterial. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1057773
Modern Language Association (MLA)
Yang, Zhen…[et al.]. Genetic Algorithm for Multiple Bus Line Coordination on Urban Arterial. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1057773
American Medical Association (AMA)
Yang, Zhen& Wang, Wei& Chen, Shuyan& Ding, Haoyang& Li, Xiaowei. Genetic Algorithm for Multiple Bus Line Coordination on Urban Arterial. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1057773
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057773