Abstract | ||
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Bus Rapid Transit (BRT) system plays an important role in public transport. In order to improve BRT operation quality, the headway optimization and scheduling combination are considered. Based on an existing model, this work proposes a modifying model that overcomes the limitation of the old one. The problem is then solved by a genetic algorithm - based method. Experimental results show that total cost is significantly decreasing after using scheduling combination strategies. The optimal frequency of BRT vehicles is also determined. |
Year | DOI | Venue |
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2015 | 10.1007/978-3-319-17996-4_7 | ADVANCED COMPUTATIONAL METHODS FOR KNOWLEDGE ENGINEERING |
Keywords | Field | DocType |
Bus Rapid Transit,Genetic Algorithm,Scheduling | Headway,Mathematical optimization,Job shop scheduling,Computer science,Scheduling (computing),Public transport,Bus rapid transit,Total cost,Genetic algorithm | Conference |
Volume | ISSN | Citations |
358 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Quang Thuan Nguyen | 1 | 10 | 2.93 |
Nguyen Ba Thang Phan | 2 | 0 | 0.34 |