A boarding model for heterogeneous passengers on the platform of high-speed railway station

Wu, 2019, Collaborative optimization of dynamic pricing and seat allocation for high-speed railways: an empirical study from china, IEEE Access, 7, 139409, 10.1109/ACCESS.2019.2943229 van den Heuvel, 2016, Field experiments with train stopping positions at Schiphol airport train station in Amsterdam, Netherlands, Transp. Res. Rec. J. Transp. Res. Board, 2546, 24, 10.3141/2546-04 Yang, 2017, Passenger distribution modelling at the subway platform based on ant colony optimization algorithm, Simul. Model. Pract. Theory, 77, 228, 10.1016/j.simpat.2017.03.005 Yang, 2019, The effect of waiting area design at the metro platform on passengers’ alighting and boarding behaviors, Appl. Math. Comput., 358, 177 Qu, 2019, Analyzing crowd dynamic characteristics of boarding and alighting process in urban metro stations, Physica A, 526, 10.1016/j.physa.2019.121075 Xu, 2013, Probabilistic model for remain passenger queues at subway station platform, J. Cent. South Univ., 20, 837, 10.1007/s11771-013-1555-2 Oliveira, 2019, Analysing passengers’ behaviours when boarding trains to improve rail infrastructure and technology, Robot. Comp. Integr. Manuf., 57, 282, 10.1016/j.rcim.2018.12.008 Seriani, 2015, Pedestrian traffic management of boarding and alighting in metro stations, Transp. Res. Part C, 53, 76, 10.1016/j.trc.2015.02.003 Li, 2020, A study on passengers’ alighting and boarding process at metro platform by computer simulation, Transp. Res. Part A., 132, 840 Dell’Asin, 2018, Pedestrian patterns at railway platforms during boarding: evidence from a case study in Switzerland, J. Adv. Transp., 2018, 10.1155/2018/4079230 Yan, 2020, Seat allocation model for high-speed railway passenger transportation based on flexible train composition, Comput. Ind. Eng., 142, 10.1016/j.cie.2020.106383 Tang, 2017, Modeling passengers’ boarding behavior at the platform of high speed railway station, J. Adv. Transp., 2017, 10.1155/2017/4073583 Tang, 2019, Exploring boarding strategies for high-speed railway, J. Adv. Transp., 2019, 10.1155/2019/4319254 Li, 2019, Impacts of group behavior on boarding process at the platform of high speed railway station, Physica A, 535, 10.1016/j.physa.2019.122247 Chen, 2018, Modeling pedestrian flow accounting for collision avoidance during evacuation, Simul. Model. Pract. Theory, 82, 1, 10.1016/j.simpat.2017.12.011 Chen, 2019, Child behavior during evacuation under non-emergency situations: experimental and simulation results, Simul. Model. Pract. Theory, 90, 31, 10.1016/j.simpat.2018.10.007 Liu, 2018, A least-effort principle based model for heterogeneous pedestrian flow considering overtaking behavior, Phys. Lett. Sect. A Gen. At. Solid State Phys., 382, 1324 Bandini, 2015, 273 Li, 2015, Behavioral effect on pedestrian evacuation simulation using cellular automata, Safety Sci, 80, 41, 10.1016/j.ssci.2015.07.003 Noh, 2016, An efficient partially dedicated strategy for evacuation of a heterogeneous population, Simul. Model. Pract. Theory, 62, 157, 10.1016/j.simpat.2016.02.002 Sharifi, 2020, Exploring heterogeneous pedestrian stream characteristics at walking facilities with different angle intersections, Physica A, 540, 10.1016/j.physa.2019.123112 Huang, 2018, Experimental study on one-dimensional movement of luggage-laden pedestrian, Physica A, 516, 520, 10.1016/j.physa.2018.09.038 Fu, 2015, A floor field cellular automaton for crowd evacuation considering different walking abilities, Physica A, 420, 294, 10.1016/j.physa.2014.11.006 Jiang, 2015, Observation, simulation and optimization of the movement of passengers with baggage in railway station, Int. J. Mod. Phys. C, 26 Zhao, 2016, Pedestrian flow characteristic of metro station along with the mall, Procedia Eng, 135, 602, 10.1016/j.proeng.2016.01.118 Tang, 2018, An aircraft boarding model with the group behavior and the quantity of luggage, Transp. Res. Part C, 93, 115, 10.1016/j.trc.2018.05.029 Helbing, 1995, Social force model for pedestrian dynamics, Phys. Rev. E, 51, 4282, 10.1103/PhysRevE.51.4282 Liu, 2018, A social force evacuation model driven by video data, Simul. Model. Pract. Theory, 84, 190, 10.1016/j.simpat.2018.02.007 Han, 2017, Extended route choice model based on available evacuation route set and its application in crowd evacuation simulation, Simul. Model. Pract. Theory, 75, 1, 10.1016/j.simpat.2017.03.010 Luo, 2018, Update schemes of multi-velocity floor field cellular automaton for pedestrian dynamics, Physica A, 491, 946, 10.1016/j.physa.2017.09.049 Tang, 2019, Modeling and simulation of pedestrian flow in university canteen, Simul. Model. Pract. Theory, 95, 96, 10.1016/j.simpat.2019.04.011 Sarmady, 2011, A cellular automata model for circular movements of pedestrians during Tawaf, Simul. Model. Pract. Theory, 19, 969, 10.1016/j.simpat.2010.12.004 Qiu, 2010, Modeling group structures in pedestrian crowd simulation, Simul. Model. Pract. Theory, 18, 190, 10.1016/j.simpat.2009.10.005 Chen, 2017, A multiagent-based model for pedestrian simulation in subway stations, Simul. Model. Pract. Theory, 71, 134, 10.1016/j.simpat.2016.12.001 Kim, 2018, Crowd evacuation simulation using active route choice model based on human characteristics, Simul. Model. Pract. Theory, 87, 369, 10.1016/j.simpat.2018.07.014 Burstedde, 2001, Simulation of pedestrian dynamics using a two-dimensional cellular automaton, Physica A, 295, 507, 10.1016/S0378-4371(01)00141-8 Nishinari, 2004, Extended floor field CA model for evacuation dynamics, IEICE Trans. Inf. Syst. E, 87-D, 726 Toffoli, 1987 Schadschneider, 2002, CA approach to collective phenomena in pedestrian dynamics, 2493, 239 Huang, 2008, Static floor field and exit choice for pedestrian evacuation in rooms with internal obstacles and multiple exits, Phys. Rev. E, 78, 10.1103/PhysRevE.78.021131 Kirchner, 2004, Discretization effects and the influence of walking speed in cellular automata models for pedestrian dynamics, J. Stat. Mech. Theory Exp., 2004, P10011, 10.1088/1742-5468/2004/10/P10011 Fu, 2018, A fine discrete field cellular automaton for pedestrian dynamics integrating pedestrian heterogeneity, anisotropy, and time-dependent characteristics, Transp. Res. Part C, 91, 37, 10.1016/j.trc.2018.03.022 Helbing, 2005, Self-organized pedestrian crowd dynamics: experiments, simulations, and design solutions, Transp. Sci., 39, 1, 10.1287/trsc.1040.0108