Research on Application of Intelligent Indication Signs in Improving Efficiency of Crowd Evacuation

doi:10.16182/j.issn1004731x.joss.23-0631

Abstract

Abstract:

Aiming at the low emergency evacuation efficiency of dense crowds in confined spaces, a crowd evacuation guidance model based on intelligent signs is constructed in this paper. A balanced congestion strategy to optimize the signs layout and a social network search-based sign guidance weights optimization method are proposed to improve evacuation efficiency. Simulation experiments show that the optimized intelligent sign layout can effectively alleviate the local congestion during evacuation and reduce the time consumption of pedestrians caused by congestion. The optimized intelligent sign guidance weights can further balance the utilization rate of exits, which is conducive to making full use of the environmental resources to enhance the efficiency of crowd evacuation further.

Key words: intelligent indication signs, evacuation guidance, reciprocal velocity obstacles, social network search

CLC Number:

TP391.9

Niu Heng, Han Yanbin, Li Liang, Chen Weilin, Niu Sijie, Hou Qingtao. Research on Application of Intelligent Indication Signs in Improving Efficiency of Crowd Evacuation[J]. Journal of System Simulation, 2024, 36(10): 2383-2395.

Figures/Tables 16

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Table 1

Simulation experiment parameters

参数	数值
行人速度ν/(m/s)	3
拥塞衡量度 $β$	0.5
行人有限理性强度 $σ$	0
权重上限 $B U$	1.8
权重下限 $B L$	0.3
种群数量m	10
最大迭代轮数k	100
行人直径P/m	0.48

Table 1

Fig. 7

Fig. 8

Fig. 9

Fig. 10

Table 2

SNS results for different numbers of people

疏散人数	权重	疏散时间/s
500	$x 0 = 1.6, x 1 = 0.9, x 2 = 1.2, x 3 = 1.2, x 4 = 1.7, x 5 = 1.3, x 6 = 1.3, x 7 = 0.7, x 8 = 0.8, x 9 = 1.7$	287
1 000	$x 0 = 0.4, x 1 = 1.7, x 2 = 1.0, x 3 = 1.2, x 4 = 1.3, x 5 = 1.8, x 6 = 0.2, x 7 = 0.6, x 8 = 1.8, x 9 = 0.8$	417
2 000	$x 0 = 0.7, x 1 = 1.8, x 2 = 0.3, x 3 = 1.3, x 4 = 1.8, x 5 = 1.8, x 6 = 1.3, x 7 = 0.2, x 8 = 0.4, x 9 = 0.8$	813
3 000	$x 0 = 0.7, x 1 = 1.7, x 2 = 1.8, x 3 = 1.8, x 4 = 1.7, x 5 = 1.8, x 6 = 1.0, x 7 = 1.6, x 8 = 1.8, x 9 = 1.4$	1 264

Table 2

Fig. 11

Fig. 12

Fig. 13

Fig. 14

References 22

1	Haghani M. Empirical Methods in Pedestrian, Crowd and Evacuation Dynamics: Part I. Experimental Methods and Emerging Topics[J]. Safety Science, 2020, 129: 104743.
2	Zhou Min, Dong Hairong, Ioannou P A, et al. Guided Crowd Evacuation: Approaches and Challenges[J]. IEEE/CAA Journal of Automatica Sinica, 2019, 6(5): 1081-1094.
3	宋英华, 张哲谦, 霍非舟, 等. 考虑指示标志的视野受限情况下人员疏散模型[J]. 系统仿真学报, 2022, 34(11): 2416-2424.
	Song Yinghua, Zhang Zheqian, Huo Feizhou, et al. Evacuation Model Considering the Restricted View of the Sign[J]. Journal of System Simulation, 2022, 34(11): 2416-2424.
4	孔云科. 基于物联网的智能疏散指示标志应用探讨[J]. 消防科学与技术, 2017, 36(8): 1158-1160.
	Kong Yunke. Application of Internet of Things in Intelligent Evacuation Indication Sign[J]. Fire Science and Technology, 2017, 36(8): 1158-1160.
5	Zhu Yu, Chen Tao, Ding Ning, et al. Follow the Evacuation Signs or Surrounding People During Building Evacuation, an Experimental Study[J]. Physica A: Statistical Mechanics and Its Applications, 2020, 560: 125156.
6	周慧, 代张音, 范芮雯, 等. 疏散指示标志安装高度对应急疏散效率的影响[J]. 科学技术与工程, 2022, 22(11): 4660-4667.
	Zhou Hui, Dai Zhangyin, Fan Ruiwen, et al. Influence of Evacuation Indicator Installation Height on Emergency Evacuation Efficiency[J]. Science Technology and Engineering, 2022, 22(11): 4660-4667.
7	Ma Peijie, Jiang Yanqun, Zhu Junfang, et al. The Effect of Escape Signs on the Pedestrians Evacuation[J]. Physica A: Statistical Mechanics and Its Applications, 2019, 534: 121133.
8	Li Minghua, Xu Chengyong, Xu Yan, et al. Dynamic Sign Guidance Optimization for Crowd Evacuation Considering Flow Equilibrium[J]. Journal of Advanced Transportation, 2022, 2022: 2555350.
9	Zhao Hantao, Schwabe Amray, Schläfli Fabian, et al. Fire Evacuation Supported by Centralized and Decentralized Visual Guidance Systems[J]. Safety Science, 2022, 145: 105451.
10	赵薇. 智能疏散指示标志诱导系统优化设计与人流控制研究[J]. 中国安全科学学报, 2016, 26(5): 169-174.
	Zhao Wei. Research on Optimizing Intelligent Evacuation Direction Signage Design and Controlling Flow of Evacuees[J]. China Safety Science Journal, 2016, 26(5): 169-174.
11	Zhang Zhe, Jia Limin, Qin Yong. Optimal Number and Location Planning of Evacuation Signage in Public Space[J]. Safety Science, 2017, 91: 132-147.
12	Fu Meiqing, Liu Rui. BIM-based Automated Determination of Exit Sign Direction for Intelligent Building Sign Systems[J]. Automation in Construction, 2020, 120: 103353.
13	Galea E R, Xie Hui, Deere S, et al. Evaluating the Effectiveness of an Improved Active Dynamic Signage System Using Full Scale Evacuation Trials[J]. Fire Safety Journal, 2017, 91: 908-917.
14	石为人, 王楷. 基于Floyd算法的移动机器人最短路径规划研究[J]. 仪器仪表学报, 2009, 30(10): 2088-2092.
	Shi Weiren, Wang Kai. Floyd Algorithm for the Shortest Path Planning of Mobile Robot[J]. Chinese Journal of Scientific Instrument, 2009, 30(10): 2088-2092.
15	Wang Xiang, Mohcine Chraibi, Chen Juan, et al. Modeling Boundedly Rational Route Choice in Crowd Evacuation Processes[J]. Safety Science, 2022, 147: 105590.
16	赵利强, 郭梦倩, 唐水雄, 等. 基于有限理性约束的自适应人群疏散仿真模型[J]. 系统仿真学报, 2022, 34(10): 2162-2170.
	Zhao Liqiang, Guo Mengqian, Tang Shuixiong, et al. Adaptive Crowd Evacuation Simulation Model Based on Bounded Rationality Constraints[J]. Journal of System Simulation, 2022, 34(10): 2162-2170.
17	刘延东, 黄高翔, 陈文. 基于增强心理行为异质性的改进社会力模型[J]. 系统仿真学报, 2023, 35(5): 1120-1130.
	Liu Yandong, Huang Gaoxiang, Chen Wen. Improved Social Force Model Based on Enhancing Psych Behavioral Heterogeneity[J]. Journal of System Simulation, 2023, 35(5): 1120-1130.
18	李巧茹, 燕锦秀, 田晓勇, 等. 基于演化博弈理论的疏散动力学研究[J]. 系统仿真学报, 2023, 35(2): 300-307.
	Li Qiaoru, Yan Jinxiu, Tian Xiaoyong, et al. Evacuation Dynamics Research Based on Evolutionary Game Theory[J]. Journal of System Simulation, 2023, 35(2): 300-307.
19	Jur van den Berg, Lin Ming, Manocha D. Reciprocal Velocity Obstacles for Real-time Multi-agent Navigation[C]//2008 IEEE International Conference on Robotics and Automation. Piscataway: IEEE, 2008: 1928-1935.
20	Li Liang, Liu Hong, Han Yanbin. Arch Formation-based Congestion Alleviation for Crowd Evacuation[J]. Transportation Research Part C: Emerging Technologies, 2019, 100: 88-106.
21	Han Yanbin, Liu Hong, Li Liang. An Evacuation Guidance Model for Pedestrians with Limited Vision[J]. Transportmetrica A Transport Science, 2023, 19(1): 1977867.
22	Talatahari Siamak, Bayzidi Hadi, Saraee Meysam. Social Network Search for Global Optimization[J]. IEEE Access, 2021, 9: 92815-92863.

[1]	Dong Zhiming, Hu Zhongqi, Dai Haoran, Gao Jiancheng. An Automated Generation Method for Combat Simulation Scenarios Based on Large Language Models [J]. Journal of System Simulation, 2026, 38(5): 1129-1145.
[2]	Li Xiaonan, Chao Tao, Ma Ping, Yang Ming, Wang Yuxuan. Robust Identification of Black-box Nonlinear SSM Using Expectation-maximization [J]. Journal of System Simulation, 2026, 38(5): 1146-1158.
[3]	Liu Yingang, Ma Ming, Zhang Ronghua. Dynamic Task Planning for Wargaming Based on Large Language Models [J]. Journal of System Simulation, 2026, 38(5): 1187-1204.
[4]	Su Hongjia, Zhang Cheng, Liu Fei. SoS Effectiveness Evaluation Method Based on Fuzzy Functional Dependency Network Analysis [J]. Journal of System Simulation, 2026, 38(5): 1224-1238.
[5]	Mei Huawei, Yang Penghui, Yu Yang. Ultra-short-term Photovoltaic Power Prediction Based on Improved PatchTST Considering Data Drift [J]. Journal of System Simulation, 2026, 38(5): 1239-1254.
[6]	Li Quan, Su Peng, Wan Haiying, Zhang Chengxi, He Zhijian, Ni Yiyang, Zhao Zhonggai, Liu Fei. Modeling of Penicillin Fermentation Process Based on a Multi-stage LHS-EPRCC Method [J]. Journal of System Simulation, 2026, 38(5): 1255-1276.
[7]	Zhou Zicong, Zeng Junjie, Hu Yue, Zhu Zhengqiu, Yin Quanjun. Multi-agent Reinforcement Learning Method for Wargame Simulation Based on Suboptimal Demonstration Guidance [J]. Journal of System Simulation, 2026, 38(5): 1277-1289.
[8]	Shi Min, Guo Shisheng, Wang Suqin, Li Zhaoxin, Zhu Dengming. Annotation-free 6-DoF Grasp Detection Method Integrating Physical and Geometric Priors [J]. Journal of System Simulation, 2026, 38(5): 1290-1302.
[9]	Jiang Yanji, Xiao Xingyi, Dong Hao, Yu Miao, Huang Jinshan, Liu Daqian, Fei Bowen. Detection Method for 3D Lanes Based on Graph Relationship Optimization Integrating Point and Lane Features [J]. Journal of System Simulation, 2026, 38(5): 1303-1319.
[10]	Zhang Xin, Zhang Ping, Zhang Chen, Liu Wei, Han Boyang. Research on Calculation Model of Excavation Resistance Under Heterogeneous Soil Conditions [J]. Journal of System Simulation, 2026, 38(5): 1320-1332.
[11]	Wang Wei, Liu Dong, Cui Xinhao, Li Bo, Xiao Yiyong, Ren Yi. Multi-level Digital Model of Dynamic Earned Value Management for Complex Engineering Projects and Its Applications [J]. Journal of System Simulation, 2026, 38(5): 1350-1364.
[12]	Peng Lijun, Su Tingqi, Liu Peijin, He Lin, Zhou Xiewu, Zhang Minxin. Detection Method for Laboratory PPE Compliance Wearing Based on Human Key Points [J]. Journal of System Simulation, 2026, 38(5): 1365-1382.
[13]	Teng Jing, Tong Wencong, Zhang Zhongjie, Yao Xing, Li Junxian. Automatic Speed Guidance Method and Simulation Evaluation for Trams at Intersections [J]. Journal of System Simulation, 2026, 38(5): 1426-1439.
[14]	Jiang Shengchao, Pei Yunqing, Zhai Hongying, Wu Guojian, Gao Fang. Power Flow Calculation Based on Block-encoded Adiabatic Quantum Newton-Raphson Method [J]. Journal of System Simulation, 2026, 38(5): 1453-1465.
[15]	Qin Lang, Xie Jiacheng, Qiao Xiaojun, Wang Xuewen, Xiao Zhijie. Robot Trajectory Planning and Adjustment Method for Abnormal Pose of Actuator [J]. Journal of System Simulation, 2026, 38(5): 1466-1483.