An Approach to Optimize the Departure Times of Transit Vehicles with Strict Capacity Constraints
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper focuses on an urban transit line which connects several residential areas and a workplace during the morning rush hours.
The congestion is represented by some passengers who must wait for an extended duration and board the next or the third departure vehicles.
This paper divides the time horizon equally into several small periods to measure the dynamic passenger demands.
Under period-dependent demand conditions, a biobjective optimization model is developed to determine the departure times of transit vehicles at the start station with strict capacity constraints, in which a heuristic algorithm based on intelligent search and local improvement is designed to solve the model.
The developed model can address the case in which more than two passengers arrive at a station simultaneously during one same period and calculate the number of boarded passengers.
Finally, the model and algorithm have been successfully verified by a numerical example.
American Psychological Association (APA)
Huimin, Niu& Tian, Xiaopeng. 2013. An Approach to Optimize the Departure Times of Transit Vehicles with Strict Capacity Constraints. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031911
Modern Language Association (MLA)
Huimin, Niu& Tian, Xiaopeng. An Approach to Optimize the Departure Times of Transit Vehicles with Strict Capacity Constraints. Mathematical Problems in Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1031911
American Medical Association (AMA)
Huimin, Niu& Tian, Xiaopeng. An Approach to Optimize the Departure Times of Transit Vehicles with Strict Capacity Constraints. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031911
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031911