Chapter
Apr 26, 2012
Intelligent Public Transport Operation Dispatching Based on Ant Colony Algorithm
Authors: Changjiang Zheng [email protected], Shaobo Zhang [email protected], and Pan Liu [email protected]Author Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
In this study, for the first time, a relatively new method entitled the ant colony algorithm was used to optimize the departure interval of a public bus system. To use the ant colony algorithm, a day was divided into several time intervals. For each time interval, several candidate bus departure interval plans were proposed. The candidate departure interval plans can be considered road sections in a "TSP" problem. Thus, the bus departure interval problem was transferred into a "TSP" problem and the ant colony algorithm can be applied to this "TSP" problem to find out the optimal departure interval plan. In this study, the use of the ant colony algorithm was tested using data from a case study in Tangshan City. It was found that the ant colony algorithm provided reasonable optimization results.
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Published In
International Conference on Transportation Engineering 2009
Pages: 4007 - 4012
Copyright
© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Algorithms
- Buses
- Case studies
- Engineering fundamentals
- Highway and road management
- Highway transportation
- Highways and roads
- Infrastructure
- Intelligent transportation systems
- Mathematics
- Methodology (by type)
- Models (by type)
- Optimization models
- Public transportation
- Research methods (by type)
- Transportation engineering
- Transportation management
- Vehicles
Authors
Affiliations
School of Transportation, Hohai University, Sichuan Province key comprehensive transportation laboratory, Nanjing, China, 210098;. E-mail: [email protected]
School of Transportation, Hohai University, Nanjing, China, 210098;. E-mail: [email protected]
School of Transportation, Southeast University Nanjing, China, 210096;. E-mail: [email protected]
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