DocumentCode
2960457
Title
Fixed Job Scheduling Model for Single Depot Transit Vehicle Assignment
Author
Jian, Zhang ; Jie, Fang ; Steven, Parker T. ; Wenquan, Li ; Bin, Ran
Author_Institution
Sch. of Transp., Southeast Univ., Nanjing, China
Volume
1
fYear
2011
fDate
28-29 March 2011
Firstpage
803
Lastpage
806
Abstract
A basic fixed job scheduling model to formulate the single depot transit vehicle assignment (SDTVA) is proposed. Formulating the transit vehicle assignment to the fixed job scheduling problem allows transportation engineers to make use of those out-of-the-box theories and solution methods already developed for fixed job scheduling problem. The proposed model takes block as the basic unit of scheduling and takes the travel time constraints into consideration. Based on the concept of the "First Come First Serve" greedy algorithm, a solution algorithm is introduced with a realistic example of campus routes scheduling at the University of Wisconsin-Madison (UW-Madison) to demonstrate the application. An optimal result is achieved and shown directly in a Gantt chart. Compared to the current vehicle scheduling, the optimal outcome of the proposed fixed job scheduling model for SDTVA can obtain better scheduling to reduce the vehicles consumed when providing the same amount of blocks and thereby improve the transit system\´s operating efficiency.
Keywords
greedy algorithms; scheduling; transportation; vehicles; Gantt chart; SDTVA; University of Wisconsin-Madison; first come first serve greedy algorithm; fixed job scheduling model; out-of-the-box theory; single depot transit vehicle assignment; transit vehicle assignment; transportation engineer; travel time constraint; Algorithm design and analysis; Greedy algorithms; Job shop scheduling; Processor scheduling; Schedules; Vehicles; Block; Fixed Job Scheduling Model; Greedy Algorithm; Vehicle Assignment;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location
Shenzhen, Guangdong
Print_ISBN
978-1-61284-289-9
Type
conf
DOI
10.1109/ICICTA.2011.208
Filename
5750742
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