Chapter
Apr 26, 2012
Optimal Scheduling for Public Transport Corridor
Authors: Jie Li [email protected], Wei Wang [email protected], Xuewu Chen [email protected], Henk Van Zuylen [email protected], and Hao Wang [email protected]Author Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
This paper aims to present a method to design the timetable for public transport (PT) vehicle along a corridor when travelers differ in the time at which they prefer to start trip and the schedule delay cost they incur from traveling earlier or later than desired. The problem of minimizing the total schedule costs is modeled with the assumption that distribution of Destination Target time (DTT) is continuous and schedule delay cost parameters vary among different origins and destinations. The first-order optimality conditions are identified. An explicit solution is derived when DTT's are uniformly distributed in the population over part of the day.
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© 2009 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Benefit cost ratios
- Business management
- Engineering fundamentals
- Financial management
- Infrastructure
- Mathematics
- Parameters (statistics)
- Practice and Profession
- Public transportation
- Statistics
- Traffic delay
- Traffic engineering
- Traffic management
- Transportation corridors
- Transportation engineering
- Transportation management
- Travel patterns
- Travel time
Authors
Affiliations
Transportation College, Southeast University, No. 2, Sipailou, 210096, Nanjing, P. R. China. E-mail: [email protected]
Transportation College, Southeast University, No. 2, Sipailou, 210096, Nanjing, P. R. China. E-mail: [email protected]
Transportation College, Southeast University, No. 2, Sipailou, 210096, Nanjing, P. R. China. E-mail: [email protected]
Civil Engineering and Geosciences, Transportation and Planning Department, Delft University of Technology, Stevinweg 1, 2628 CN, Delft. E-mail: [email protected]
Transportation College, Southeast University, No. 2, Sipailou, 210096, Nanjing, P. R. China. E-mail: [email protected]
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