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Maximal Synchronization of Feeder Buses to Metro Using Particle Swarm Optimization

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Bio-Inspired Computing -- Theories and Applications (BIC-TA 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 562))

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Abstract

In public transport, transfer optimization aims either to minimize the passengers’ waiting times or to maximize the number of synchronization arrivals at transfer points. Under the objective of maximal synchronization, much research is carried out based on a single transit mode independently. This paper proposes a new model for the maximal synchronization between two most popular transit modes (i.e. bus and metro), which is helpful to increase the ridership of metro systems and enhance the service level of an entire public transport system. Based on the model, a maximal synchronization approach based on particle swarm optimization is devised. Experiments on benchmark instances and a case study on a real-world problem show the proposed approach is feasible and efficient.

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Acknowledgements

The work was supported by the Major Program of National Social Science Foundation of China (Grant No. 13&ZD175) and National Natural Science Foundation of China (Grant No. 71171087).

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Correspondence to Yindong Shen .

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Shen, Y., Wang, S. (2015). Maximal Synchronization of Feeder Buses to Metro Using Particle Swarm Optimization. In: Gong, M., Linqiang, P., Tao, S., Tang, K., Zhang, X. (eds) Bio-Inspired Computing -- Theories and Applications. BIC-TA 2015. Communications in Computer and Information Science, vol 562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49014-3_32

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  • DOI: https://doi.org/10.1007/978-3-662-49014-3_32

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49013-6

  • Online ISBN: 978-3-662-49014-3

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