Chapter
Apr 26, 2012
Ant Colony System for Multi-Depot Bus Scheduling Problem with Budget and Pollutant Emission Control
Authors: Ming Wei [email protected], Wenzhou Jin [email protected], Bo Sun [email protected], and Xiaoni Hao [email protected]Author Affiliations
Publication: Traffic and Transportation Studies 2010
Abstract
To aim at maximizing utilization of vehicles, this paper discusses how to spend a limited budget to buy different types of buses to cover all assigned trips for bus scheduling to meet some requirements such as fuel restrictions, depot capacities, and an upper limit for air pollutants emitted from these buses. The mathematical model is formulated in a form of the integer programming problem in "Block Based" formulation ways, and solutions are obtained using the ant colony optimization (ACO) which uses new heuristic information and redesign a feasible solution construction according to the features of bus scheduling. Finally, numerical computations show that ACO can find good solutions effectively and efficiently.
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Published In
Traffic and Transportation Studies 2010
Pages: 723 - 732
Copyright
© 2010 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Air pollution
- Budgets
- Buses
- Business management
- Control systems
- Emissions
- Engineering fundamentals
- Environmental engineering
- Financial management
- Highway transportation
- Infrastructure
- Models (by type)
- Optimization models
- Pollution
- Practice and Profession
- Systems engineering
- Systems management
- Traffic engineering
- Transportation engineering
- Travel patterns
- Vehicles
Authors
Affiliations
Ph.D. Candidate, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China 510640.E-mail: [email protected]
Professor, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China 510640.E-mail: [email protected]
MSc Students, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China 510640.E-mail: [email protected]
Instructor, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China 510640.E-mail: [email protected]
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