Optimization of skip-stop strategy for urban rail transit considering passenger flow aggregation risk

doi:10.16265/j.cnki.issn1003-3033.2022.06.1188

Abstract

Abstract:

Aiming at the problem of passenger flow aggregation risk at the platform of urban rail transit system, the platform risk level and risk threshold are defined. Taking maximizing the sum of risk levels of train parking stations and minimizing the train operation intervals as the planning objectives, based on the risk threshold, the constraint conditions that meet the basic operation of a single train, the multi-train tracking conditions and passenger travel requirements were set, and a bi-objective programming model for the skip-stop strategy is established. Finally, an iterative algorithm with hierarchical sequence method as the core is used to solve the model, and the model is verified by an example. The results show that the capacity of the skip-stop strategy obtained from the optimization model to solve the risk of passenger flow aggregation on the line platform is increased by 66.7%, and the rail line capacity is increased by 10.5% compared with that of the conventional scheme. The optimization strategy can solve the overall risk problem of the line platform while meeting the travel requirements of passengers.

Key words: urban rail transit, skip-stop, passenger flow aggregation, risk threshold, mass passenger flow

WU Haitao, HOU Chenglong, LI Shuangxi, TAN Huiwen. Optimization of skip-stop strategy for urban rail transit considering passenger flow aggregation risk[J]. China Safety Science Journal, 2022, 32(6): 157-162.

Figures/Tables 8

Fig.1

Tab.1

Tab.2

Tab.3

Running time matrix and parameter setting

开行区间				行驶时间/s				参数	取值	参数	取值
1—2	4—5	7—8	10—11	190	135	103	150	h/s	90	C/人	1 200
2—3	5—6	8—9	11—12	108	90	104	140	y	3	S_i/m²	1 416
3—4	6—7	9—10	12—13	157	114	166	102	$N m a x$	7	D/s	30

Tab.3

Tab.4

Tab.5

Skip-stop scheme

站台编号	1	2	3	4	5	6	7	8	9	10	11	12	13
$x 1, i$	0	0	0	0	1	0	1	0	1	1	1	0	1
$x 2, i$	0	0	0	0	1	0	1	0	1	1	1	0	1
$x 3, i$	0	0	0	1	0	0	1	1	0	1	1	0	1
$x 4, i$	1	1	1	1	1	1	1	1	1	1	1	1	1

Tab.5

Fig.2

Fig.3

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站台编号	1	2	3	4	5	6	7	8	9	10	11	12
旅客到达率/(人·s^-1)	0.35	0.55	0.84	0.3	0.54	0.35	2.25	0.25	0.30	2.43	0.65	0.20
站台初始乘客人数	105	165	252	387	697	210	2 896	319	391	3 130	839	258

客流密度/(人·m^—2)	服务水平	拥挤程度	对应客流状态	风险等级
0~0.7	A—C	正常	运营流畅	Ⅰ(1)
0.7~1.1	D	拥挤	运营拥挤	Ⅱ(2)
1.1~1.33	D	密集	运营高峰期	Ⅲ(3)
1.33~2	E	阻滞	高峰期极限	Ⅳ(4)
2~3.03	F	危险	超过客运设备及客流组织极限	V(5)