Study of the Bus Dynamic Coscheduling Optimization Method under Urban Rail Transit Line Emergency
Joint Authors
Zhou, Yu
Yan, Xuedong
Wang, Jiaxi
Chen, Shasha
Wang, Yun
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
As one of the most important urban commuter transportation modes, urban rail transit (URT) has been acting as a key solution for supporting mobility needs in high-density urban areas.
However, in recent years, high frequency of unexpected events has caused serious service disruptions in URT system, greatly harming passenger safety and resulting in severe traffic delays.
Therefore, there is an urgent need to study emergency evacuation problem in URT.
In this paper, a method of bus dynamic coscheduling is proposed and two models are built based on different evacuation destinations including URT stations and surrounding bus parking spots.
A dynamic coscheduling scheme for buses can be obtained by the models.
In the model solution process, a new concept—the equivalent parking spot—is proposed to transform the nonlinear model into an integer linear programming (ILP) problem.
A case study is conducted to verify the feasibility of models.
Also, sensitivity analysis of two vital factors is carried out to analyze their effects on the total evacuation time.
The results reveal that the designed capacity of buses has a negative influence on the total evacuation time, while an increase in the number of passengers has a positive effect.
Finally, some significant optimizing strategies are proposed.
American Psychological Association (APA)
Wang, Yun& Yan, Xuedong& Zhou, Yu& Wang, Jiaxi& Chen, Shasha. 2014. Study of the Bus Dynamic Coscheduling Optimization Method under Urban Rail Transit Line Emergency. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1034640
Modern Language Association (MLA)
Wang, Yun…[et al.]. Study of the Bus Dynamic Coscheduling Optimization Method under Urban Rail Transit Line Emergency. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1034640
American Medical Association (AMA)
Wang, Yun& Yan, Xuedong& Zhou, Yu& Wang, Jiaxi& Chen, Shasha. Study of the Bus Dynamic Coscheduling Optimization Method under Urban Rail Transit Line Emergency. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1034640
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034640