Title :
An Approach to Bus-Driver Scheduling Problem
Author :
Chen, Qian ; Li, Chunyan
Author_Institution :
Transp. Dept., Southeast Univ., Nanjing, China
Abstract :
Driver scheduling is an important part of the base of blocking. A better method of driver scheduling is advanced in this paper. First, a model is built, the optimization objective of which includes the opportunity cost of shifts and the least wage cost. Then a genetic algorithm is designed to get the optimization solution, and the driver scheduling model and algorithm is tested by the data of Route 115, Shijiazhuang, China. The result of the example indicates that the optimization scheme generated by the proposed method is better than original manual programming, and the solution process is simple and fast, which shows the validity of the approach.
Keywords :
genetic algorithms; scheduling; transportation; bus-driver scheduling problem; genetic algorithm; least wage cost; opportunity shift cost; optimization scheme; Approximation algorithms; Biological cells; Driver circuits; Encoding; Optimization; Schedules; Scheduling; driver scheduling; genetic algorithms; relief opportunity; transit;
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
DOI :
10.1109/GCIS.2010.262