基于社会力模型的机场旅客排队模型

doi:10.3969/j.issn.1001-506X.2020.08.18

Abstract

Abstract:

The study of the passenger queue service process in the terminal building is essential for the terminal to allocate resources and improve passengers' satisfaction according to the actual operation. Thus, a new method to analyze and simulate the passenger queue service process is proposed. Firstly, the research optimizes the social force model, builds a terminal queuing simulation model. Secondly, the Anylogic software is used to simulate the passenger queue service process of security check in the departure hall of Nanjing Lukou International Airport Terminal 2. Finally, through the simulation data, different simulation results of the optimization model and the traditional model are analyzed, which shows that there is no clear difference of the security channel utilization and the actual operation between the two models, both are higher than 96%. The results also shows that the average queue length of the optimization model is significantly smaller than the traditional model with 2~3 people; the average waiting time and average time spent by passengers in the security system are significantly smaller than the traditional result of about 100 s, which is more in line with the actual operation of security inspection area peak hours.

Key words: social force model, Anylogic software, airport passenger security check, security check queue

CLC Number:

Tianxuan ZHANG, Danwen BAO, Ting ZHU, Zhao YANG, Zhiwei DI. Airport passenger queuing model based on social force model[J]. Systems Engineering and Electronics, 2020, 42(8): 1776-1783.

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References 25

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时间段	每分钟旅客到达数/人
9:00~9:10	1	2	1	2	3	3	2	3	3	3
9:10~9:20	2	3	2	2	2	2	5	3	4	4
9:20~9:30	3	4	5	2	2	4	4	6	5	7
9:30~9:40	4	4	4	5	5	5	6	7	7	5
9:40~9:50	4	10	12	13	13	15	18	18	13	9
9:50~10:00	9	6	7	8	6	4	4	3	2	4
10:00~10:10	5	3	5	2	4	3	6	8	7	5
10:10~10:20	4	2	7	4	3	3	2	1	3	6
10:20~10:30	4	3	2	1	2	1	2	2	2	1

到达率K-S非参数检验结果
数据量总数	90
正态分布	均值	4.744 4
	标准差	3.549 2
	渐近显著性Sig₁	0.001
均匀分布	极小值	1
	极大值	18
	渐近显著性Sig₂	0.000
泊松分布	参数λ₁	4.744 4
泊松分布	渐近显著性Sig₃	0.054
负指数分布	参数λ₂	1/4.744 4
负指数分布	渐近显著性Sig₄	0.000

服务时间K-S非参数检验结果
数据量总数	150
正态分布	均值	86.013 3
	标准差	71.827 4
	渐近显著性Sig₁	0.002 0
均匀分布	极小值	7
	极大值	366
	渐近显著性Sig₂	0.000
泊松分布	参数λ₁	86.013 3
泊松分布	渐近显著性Sig₃	0.000 0
负指数分布	参数λ₂	1/86.013 3
负指数分布	渐近显著性Sig₄	0.088 0

元素名称	元素类型	含义	数值
安检旅客源	Source	旅客到达安检系统	5个安检通道每分钟总旅客到达率Poisson(4.744)/人
总入口	Exit	旅客安检队列选择
通道1入口~通道5入口	Enter	旅客进入相应安检通道队列
队列1~队列5	Queue	旅客排队等待安检
安检服务1~安检服务5	Delay	安检服务	单个安检通道每秒旅客服务率Exponential(0.012, 22)/人
总出口	Move To	旅客前进方向和目的地
安检旅客终点	Sink	旅客安检结束退出系统

旅客属性参数	传统模型	优化模型
舒适速度/(m/s)	(0.5, 1)	(0.8, 1.1)
直径/m	(0.4, 0.5)	(0.5, 0.6)

Airport passenger queuing model based on social force model

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安检窗口服务时间
55	49	146	52	129	119	310	88	22	30
77	178	53	104	138	52	216	41	196	43
264	55	107	59	105	72	117	34	37	42
62	247	33	20	15	79	36	51	19	48
80	38	12	22	148	75	128	175	7	61
9	17	41	18	155	44	48	8	96	11
63	127	149	39	144	46	28	288	9	149
22	156	36	36	103	188	53	118	306	157
87	366	22	55	130	30	126	20	31	312
193	276	221	92	73	132	68	203	142	63
9	18	26	59	66	193	19	81	62	13
83	38	42	73	64	107	53	96	26	52
205	70	71	47	9	60	63	29	9	66
95	91	88	85	131	118	63	11	10	125
125	27	63	54	74	100	57	34	61	29

项目		传统模型	优化模型	实际运行情况
安检通道利用率	通道1	0.951	0.963	0.95
	通道2	0.967	0.965	0.96
	通道3	0.986	0.980	0.99
	通道4	0.993	0.990	1
	通道5	1	1	1
安检通道队列平均长度/人	队列1	14.418	12.126	10
	队列2	14.982	12.307	12
	队列3	15.179	12.394	10
	队列4	15.372	12.649	11
	队列5	15.351	12.943	11
安检通道各队列旅客排队等待平均时间/s	队列1	708.472	748.532	—
	队列2	954.424	792.340	—
	队列3	885.335	781.675	—
	队列4	900.596	639.641	—
	队列5	800.752	748.406	—
安检通道旅客排队等待平均时间/s		844.795	742.080	726.03
旅客在安检系统中的总时间均值/s		974.275	868.925	857.51

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