Abstract
This paper briefly analyzes the characteristics of two new rail transit modes, namely, City area and city neighborhood, which forms a multi-system regional rail transit system by cooperating with national railways and urban rail transit. From the angle of transfer coordination, aiming at minimizing the waiting time of passengers, this paper optimizes the arrival and departure time of trains at transfer stations, and constructs an optimization model of transfer and connection between urban rail transit and multi-system regional rail transit. Fixed the national railway train plan and adjusted the arrival and departure times of urban rail transit trains to reduce the impact on the overall plan. Case studies show that the model can reduce passenger waiting time to a certain extent, and provide a reference for the coordinated development of multi-mode rail transit.
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References
Zhou, Y.F., Zhou, L.S., Le, Y.X.: Study on synchronous coordination and optimization of train connection at urban rail transit stations. J. Railw. 33(3), 9–16 (2011)
Liang, Q.S., Li, X., Xu, R.H.: Optimization of train connection time at urban rail transit transfer station. Res. Urban Rail Transit 18(4), 9–13+41 (2015)
Tian, Y.F., Pan, H.C.: Train connection optimization method of urban rail transit transfer station based on service level. Urban Rail Transit Res. 20(7), 81–85+93 (2017)
Xu, R.H., Li, X.: Comprehensive optimization of the last bus connection scheme for urban rail transit network. J. Tongji Univ. 40(10), 1510–1516 (2012). (Natural Science Edition)
Xu, R.H., Zhang, M., Jiang, Z.B.: Study on the departure time domain of the first and last trains of Urban Rail Transit Based on line network coordination. J. Railw. 02, 7–11 (2008)
Li, S.J., Xu, R.H., Yang, R.D.: Train operation plan optimization of urban rail transit network based on capacity coordination. J. Southeast Univ. 47(5), 1048–1054 (2017). (Natural Science Edition)
Wang, W.X., Chen, D.J., Chen, H.: Application of hybrid genetic algorithm in train flow allocation of railway network. Comput. Simul. 32(4), 129–132+153 (2015)
Acknowledgement
This research was supported by the National Key R&D Program of China (2017YFB1200702), National Natural Science Foundation of China (Project No. 61703351), Science and Technology Plan of Sichuan province (Project NO. 2017ZR0149, 2017RZ0007, 2017015, 2018RZ0078), Science and Technology Plan of China Railway Corporation (Project No.: 2016X006-D), Chengdu Soft Science Research Project (2017-RK00-00028-ZF, 2017-RK00-00378-ZF) and the Fundamental Research Funds for the Central Universities (2682017CX022, 2682017CX018).
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Xia, Z., Peng, Z., Hongxia, L., Shaoquan, N. (2019). Transfer Optimization of Multi Standard Regional Rail Transit. In: Ni, S., Wu, TY., Chang, TH., Pan, JS., Jain, L. (eds) Advances in Smart Vehicular Technology, Transportation, Communication and Applications. VTCA 2018. Smart Innovation, Systems and Technologies, vol 129. Springer, Cham. https://doi.org/10.1007/978-3-030-04582-1_38
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DOI: https://doi.org/10.1007/978-3-030-04582-1_38
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