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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References
Yang, X., Chen, A., Li, X., Ning, B., Tang, T.: An energy-efficient scheduling approach to improve the utilization of regenerative energy for metro systems. Transp. Res. Part C 57, 13–29 (2015)
Shen, Y.D., Xu, J., Zeng, Z.Y.: Public transit planning and scheduling based on AVL data in China. Int. Trans. Oper. Res. 1, 1–23 (2015)
Guo, Z., Wilson, N.H.M.: Assessing the cost of transfer inconvenience in public transport systems: a case study of the London Underground. Transp. Res. Part A 45(2), 91–104 (2011)
Poorjafari, V., Yue, W.L.: Synchronisation of public transport services: comparison of Methods. In: Preceedings of the 10th International Conference of Eastern Asia Society for Transportation Studies. EASTS Press, Taiwan (2013)
Shrivastava, P., Dhingra, S.L.: Development of coordinated schedules using genetic algorithms. J. Transp. Eng. 128(1), 89–96 (2002)
Chang, S.K.J., Hsu, C.L.: Modeling passenger waiting time for intermodal transit stations. Transp. Res. Rec. 1753(9), 69–75 (2007)
Li, Z.C., William, H.K., Wong, S.C., Sumalee, A.: An activity-based approach for scheduling multimodal transit services. Transportation 37(5), 751–774 (2010)
Kim, M.E., Schonfeld, P.: Integration of conventional and flexible bus services with timed transfers. Transp. Res. Part B 68, 76–97 (2014)
Ceder, A., Golany, B., Tal, O.: Creating bus timetables with maximal synchronization. Transp. Res. Part A 35(10), 913–928 (2001)
Ibarra-Rojas, O.J., Rios-Solis, R.S.: Synchronization of bus timetablings. Transp. Res. B 46(5), 599–614 (2012)
Nesheli, M.M., Ceder, A.: Optimal combinations of selected tactics for public-transport transfer synchronization. Transp. Res. Part C 48, 491–504 (2014)
Eranki, A.: A model to create bus timetables to attain maximum synchronization considering waiting times at transfer stops. Masters thesis, Department of Industrial and Management Systems Engineering, University of South Florida (2004)
Eberhart, R.C., Kennedy, J.: A new optimizer using particle swarm theory. In: Proceedings of the Sixth International Symposium on Micromachine and Human Science, pp. 39–43. IEEE Press, Nagoya (1995)
Pradeep, K., Asheesh, K.S., Anurag, K.S.: A novel optimal capacitor placement algorithm using Nelder-Mead PSO. Int. J. Bio-Inspired Comput. 6(4), 290–302 (2014)
Gopi, R., Durbadal, M., Rajib, K., Sakti, P.G.: Optimal design of non-uniform circular antenna arrays using PSO with wavelet mutation. Int. J. Bio-Inspired Comput. 6(4), 424–433 (2014)
Eberhart, R.C., Shi, Y.H.: Particle swarm optimization: developments, applications and resources. In: Proceedings of IEEE International Conference on Evolutionary Computation, pp. 81–86. IEEE Press, Seoul (2001)
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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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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