Dynamic Vehicle Scheduling for Working Service Network with Dual Demands
Joint Authors
Li, Bing
Xuan, Hua
Xu, Wei
Xu, Chunqiu
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-22
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This study aims to develop some models to aid in making decisions on the combined fleet size and vehicle assignment in working service network where the demands include two types (minimum demands and maximum demands), and vehicles themselves can act like a facility to provide services when they are stationary at one location.
This type of problem is named as the dynamic working vehicle scheduling with dual demands (DWVS-DD) and formulated as a mixed integer programming (MIP).
Instead of a large integer program, the problem is decomposed into small local problems that are guided by preset control parameters.
The approach for preset control parameters is given.
By introducing them into the MIP formulation, the model is reformulated as a piecewise form.
Further, a piecewise method by updating preset control parameters is proposed for solving the reformulated model.
Numerical experiments show that the proposed method produces better solution within reasonable computing time.
American Psychological Association (APA)
Li, Bing& Xu, Wei& Xuan, Hua& Xu, Chunqiu. 2017. Dynamic Vehicle Scheduling for Working Service Network with Dual Demands. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1170930
Modern Language Association (MLA)
Li, Bing…[et al.]. Dynamic Vehicle Scheduling for Working Service Network with Dual Demands. Journal of Advanced Transportation No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1170930
American Medical Association (AMA)
Li, Bing& Xu, Wei& Xuan, Hua& Xu, Chunqiu. Dynamic Vehicle Scheduling for Working Service Network with Dual Demands. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1170930
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170930