Simulation on High-speed Train Carriage Evacuation Considering Passengers Moving to Adjacent Carriages

doi:10.16182/j.issn1004731x.joss.22-0836

Abstract

Abstract:

To study the influence of passengers moving to adjacent carriages on high-speed train carriages' evacuation, a cellular automata model considering export selection is established. Taking the CR400BF second-class carriage as the research object, some analytical indexes such as evacuation efficiency, number of conflicts and the congestion degree are used to study the effect of passengers moving to adjacent carriages on carriage evacuation, and the passenger seat distribution, the number of passengers transferred from adjacent carriages and the opening door modes of adjacent carriages are discussed. The simulation results show that the discretized seat distribution reduces the times of conflicts by approximately 44.7%. Evacuations of passengers moving to adjacent carriages reduce the evacuation efficiency of the carriage. The evacuation time of passengers in the carriage first increases linearly with the increase of the number of the number of moving passengers from adjacent carriages and then tends to be stable. Different door opening modes of adjacent carriages have different effects on evacuation efficiency.

Key words: passenger evacuation, cellular automata, simulation study, high-speed train carriage, evacuation index

CLC Number:

TP391.9

Hu Zuoan, Zeng Tian, Wei Yidong, Ma Yi. Simulation on High-speed Train Carriage Evacuation Considering Passengers Moving to Adjacent Carriages[J]. Journal of System Simulation, 2023, 35(12): 2614-2623.

Figures/Tables 15

Fig. 1

Fig. 2

Table 1

Parameter values of model

参数符号	取值	参数符号	取值
$k s$	5	$φ$	0.7
$k d$	1	$η$	0.3
$γ$	$2 - 1$	$ρ$	0.2
$α$	0.2	$θ$	0.2
$β$	0.2

Table 1

Fig. 3

Table 2

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Table 3

Fig. 9

Fig. 10

Fig. 11

Fig. 12

References 26

1	Keenan M T, Pittman K G, Stephens P J, et al. Passenger Detrainment and Tunnel Evacuation-theory, Modelling and Experience[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 1994, 208(2): 115-122.
2	Capote J A, Alvear D, Abreu O, et al. Analysis of Evacuation Procedures in High Speed Trains Fires[J]. Fire Safety Journal, 2012, 49: 35-46.
3	Capote J A, Alvear D, Abreu O, et al. A Stochastic Approach for Simulating Human Behaviour During Evacuation Process in Passenger Trains[J]. Fire Technology, 2012, 48(4): 911-925.
4	Galea E R, Gwynne S. Estimating the Flow Rate Capacity of an Overturned Rail Carriage End Exit in the Presence of Smoke[J]. Fire and Materials, 2000, 24(6): 291-302.
5	Fridolf K, Nilsson D, Frantzich Håkan. The Flow Rate of People During Train Evacuation in Rail Tunnels: Effects of Different Train Exit Configurations[J]. Safety Science, 2014, 62: 515-529.
6	李琦, 王明年, 于丽. 长大铁路隧道火灾模式下人员疏散试验研究[J]. 中国铁道科学, 2015, 36(6): 78-84.
	Li Qi, Wang Mingnian, Yu Li. Experimental Study on Evacuation Under Fire Mode in Long and Large Railway Tunnel[J]. China Railway Science, 2015, 36(6): 78-84.
7	Yu Li, Deng Tao, Wang Mingnian, et al. Passengers' Evacuation from a Fire Train in Railway Tunnel[J]. International Journal of Rail Transportation, 2019, 7(3): 159-172.
8	Huang Shenshi, Lu Shouxiang, Lo S, et al. Experimental Study on Occupant Evacuation in Narrow Seat Aisle[J]. Physica A: Statistical Mechanics and its Applications, 2018, 502: 506-517.
9	Chen Xu, Treiber M, Kanagaraj V, et al. Social Force Models for Pedestrian Traffic-state of the Art[J]. Transport Reviews, 2018, 38(5): 625-653.
10	隋杰, 龙圣杰. 生化恐怖袭击下行人应急引导疏散仿真研究[J]. 系统仿真学报, 2017, 29(4): 767-774, 783.
	Sui Jie, Long Shengjie. Research on Simulation of Emergency Evacuation Guidance Under Biochemical Terror Attacks[J]. Journal of System Simulation, 2017, 29(4): 767-774, 783.
11	李昌华, 杨晶, 李智杰. 一种应用于人群仿真的改进社会力模型[J]. 系统仿真学报, 2021, 33(3): 521-528.
	Li Changhua, Yang Jing, Li Zhijie. An Improved Social Force Model for Crowd Simulation[J]. Journal of System Simulation, 2021, 33(3): 521-528.
12	郭海湘, 曾杨, 陈卫明. 基于社会力模型的多出口室内应急疏散仿真研究[J]. 系统仿真学报, 2021, 33(3): 721-731.
	Guo Haixiang, Zeng Yang, Chen Weiming. Research on Indoor Emergency Evacuation Simulation of Multi-exit Based on Social Force Model[J]. Journal of System Simulation, 2021, 33(3): 721-731.
13	Burstedde C, Klauck K, Schadschneider A, et al. Simulation of Pedestrian Dynamics Using a Two-dimensional Cellular Automaton[J]. Physica A: Statistical Mechanics and its Applications, 2001, 295(3/4): 507-525.
14	Tang Tieqiao, Shao Yixiao, Chen Liang, et al. Modeling Passengers' Boarding Behavior at the Platform of High Speed Railway Station[J]. Journal of Advanced Transportation, 2017: 4073583.
15	Tang Tieqiao, Shao Yixiao, Chen Liang, et al. Exploring Boarding Strategies for High-speed Railway[J]. Journal of Advanced Transportation, 2019: 4319254.
16	宋英华, 张宇, 霍非舟, 等. 考虑避让行为的人员疏散元胞自动机模型研究[J]. 系统仿真学报, 2020, 32(6): 975-981.
	Song Yinghua, Zhang Yu, Huo Feizhou, et al. Study on Evacuation Cellular Automaton Model Considering Avoidance Behavior[J]. Journal of System Simulation, 2020, 32(6): 975-981.
17	Chen Changkun, Sun Yunfeng, Li Zhi. Simulation of Evacuation Processes Using Cellular Automaton Model for Carriage Passenger Dynamic[C]//2009 IEEE International Conference on Intelligent Computing and Intelligent Systems. Piscataway, NJ, USA: IEEE, 2009: 580-583.
18	Alonso V, Abreu O V, Cuesta A, et al. A New Approach for Modelling Passenger Trains Evacuation Procedures[J]. Procedia-Social and Behavioral Sciences, 2014, 160: 284-293.
19	Qiu Hanzhao, Fang Weining. Effect of High-speed Train Interior Space on Passenger Evacuation Using Simulation Methods[J]. Physica A: Statistical Mechanics and its Applications, 2019, 528: 121322.
20	吕伟, 秦霜霜, 穆治国, 等. CRH380AL型高铁列车应急疏散及影响因素模拟研究[J]. 中国安全科学学报, 2020, 30(8): 164-170.
	Wei Lü, Qin Shuangshuang, Mu Zhiguo, et al. Simulation Study on Evacuation of CRH380AL High-speed Train and Its Influencing Factors[J]. China Safety Science Journal, 2020, 30(8): 164-170.
21	郭谨一, 刘爽, 陈绍宽, 等. 行人运动仿真研究综述[J]. 系统仿真学报, 2008, 20(9): 2237-2242.
	Guo Jinyi, Liu Shuang, Chen Shaokuan, et al. Review of Pedestrian Movement Simulation Studies[J]. Journal of System Simulation, 2008, 20(9): 2237-2242.
22	Li Chuanyao, Yang Ruiyu, Chen Liang, et al. A Boarding Model for Heterogeneous Passengers on the Platform of High-speed Railway Station[J]. Simulation Modelling Practice and Theory, 2021, 106: 102188.
23	江雨燕, 刘军. 基于元胞自动机的普通超市火灾疏散模型的构建[J]. 计算机应用研究, 2019, 36(11): 3330-3333.
	Jiang Yuyan, Liu Jun. Construction of Fire Evacuation Model for Ordinary Supermarket Based on Cellular Automata[J]. Application Research of Computers, 2019, 36(11): 3330-3333.
24	萨木哈尔·波拉提, 邹馨捷, 郝明, 等. 基于元胞自动机的人员疏散模型探讨[J]. 安全与环境工程, 2020, 27(5): 122-127.
	Samuhaer·Bolati, Zou Xinjie, Hao Ming, et al. Discussion on the Evacuation Model of Personnel Based on Cellular Automata[J]. Safety and Environmental Engineering, 2020, 27(5): 122-127.
25	Capote J A, Alvear D, Abreu O, et al. An Evacuation Model for High Speed Trains[M]//Peacock R D, Kuligowski E D, Averill J D. Pedestrian and Evacuation Dynamics. Boston, MA: Springer US, 2011: 421-431.
26	黄申石. 高速列车座椅过道区域内的人员运动特征与疏散行为研究[D]. 合肥: 中国科学技术大学, 2019.
	Huang Shenshi. Study of Pedestrian Movement Characteristics and Evacuation Behaviors in Seat Aisle Area of High-speed Train[D]. Hefei: University of Science and Technology of China, 2019.

位置	均值	25%值	75%值	最小值
前部	34.00	20.5	48.0	8.0
中部	71.25	64.5	79.5	51.5
后部	30.50	16.5	43.0	6.5

有无旅客跨车厢疏散	位置	t_total	t_first	t_ave
无	本车厢	85.65	6.95	46.04
有	本车厢	92.95	6.60	52.33
有	相邻车厢	52.10	10.55	32.13

[1]	Fan Dong, Qimiao Xie, Xiaolian Li, Shuchao Cao. Pedestrian Evacuation Model Considering Emotional Infection [J]. Journal of System Simulation, 2023, 35(8): 1717-1725.
[2]	Qiaoru Li, Jinxiu Yan, Xiaoyong Tian, Kun Li, Xia Li. Evacuation Dynamics Research Based on Evolutionary Game Theory [J]. Journal of System Simulation, 2023, 35(2): 300-307.
[3]	Sun Yulong, Zheng Jianfeng, Han Jiaxuan, Li Chao. A Cellular Automata Model for Simulating Ships Passing Through Waterways with Alternating Wide and Narrow Sections [J]. Journal of System Simulation, 2023, 35(11): 2419-2428.
[4]	Jianxu Zhang, Shuai Hu, Hongyi Jin. Modeling of Traffic Flow Velocity Control Strategy for Human-machine Mixed Driving at Signalized Intersections [J]. Journal of System Simulation, 2022, 34(8): 1697-1709.
[5]	Yangsheng Jiang, Sichen Wang, Kuan Gao, Meng Liu, Zhihong Yao. Cellular Automata Model of Mixed Traffic Flow Composed of Intelligent Connected Vehicles’ Platoon [J]. Journal of System Simulation, 2022, 34(5): 1025-1032.
[6]	Yinghua Song, Zheqian Zhang, Feizhou Huo, Danhui Fang. Evacuation Model Considering the Restricted View of the Sign [J]. Journal of System Simulation, 2022, 34(11): 2416-2424.
[7]	Liu Zhanhong, Yang Xiujian, Wu Xiangji, Huang Zhen. Modeling and Simulation of Car Following in Fog Based on Cellular Automata [J]. Journal of System Simulation, 2021, 33(10): 2399-2410.
[8]	Liu Zongyang, Zhou Chunhui, Zhao Junnan, Xiao Jinli, Gan Langxiong. Modeling and Simulation of Channel Passage Capacity Based on Cellular Automata [J]. Journal of System Simulation, 2021, 33(10): 2478-2487.
[9]	Song Yinghua, Zhang Yu, Huo Feizhou, Lü Wei, Ma Yaping. Study on Evacuation Cellular Automaton Model Considering Avoidance Behavior [J]. Journal of System Simulation, 2020, 32(6): 975-981.
[10]	Xing Zhiwei, Xu Mingyi, Luo Xiao, Luo Qian. Simulation and Optimization of Aircraft Sliding Path [J]. Journal of System Simulation, 2020, 32(2): 323-331.
[11]	Xing Zhiwei, Li Shijiao, Tang Yunxiao, Luo Qian. Airport Surface Traffic Simulation Based on Agent-Cellular Automaton [J]. Journal of System Simulation, 2018, 30(3): 857-865.
[12]	Kuang Xianyan, Cao Weihua, Wu Yun. Cellular Automata Model of Non-motor Vehicle Flow Considering Reverse Vehicles [J]. Journal of System Simulation, 2016, 28(2): 268-274.