Abstract
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.
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Nguyen, Q.T., Phan, N.B.T. (2015). Scheduling Problem for Bus Rapid Transit Routes. In: Le Thi, H., Nguyen, N., Do, T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, vol 358. Springer, Cham. https://doi.org/10.1007/978-3-319-17996-4_7
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DOI: https://doi.org/10.1007/978-3-319-17996-4_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-17995-7
Online ISBN: 978-3-319-17996-4
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