考虑出行全过程的城市群多方式交通流分配模型与算法

doi:10.3976/j.issn.1002-4026.2022.01.012

Abstract

Abstract:

To optimize the structure of passenger transportation networks in an urban agglomeration, a multi-modal traffic flow assignment model under combined mode is proposed to study the flow distribution of multi-modal passenger transport networks in the urban agglomeration when the network achieves equilibrium. Based on the analysis of the entire travel process in an urban agglomeration, the super network theory is used to construct a super network model of multi-modal transportation in the urban agglomeration, and the links of the super network are divided into four types—boarding links, travel links, transfer links, and alighting links—among which travel links include travel links on urban transportation networks and travel links on intercity transportation networks. Considering the various factors that affect the choice of passenger travel mode, the generalized cost function of different links and hyperpaths are defined. Based on this, the stochastic equilibrium assignment model of a multi-modal transportation system in an urban agglomeration is proposed and the corresponding solution algorithm is designed based on the method of successive average algorithm as well as the search algorithm of the effective hyperpath. Finally, a numerical example is given to illustrate and verify the effectiveness of the model and algorithm.

Key words: urban agglomeration, entire travel process, multi-modal, super network, generalized cost, effective hyperpath, stochastic user equilibrium

CLC Number:

XU Pu. Multi-modal traffic assignment model and algorithm for an urban agglomeration considering entire travel process[J].Shandong Science, 2022, 35(1): 88-98.

Figures/Tables 11

Fig.1

Fig.2

Fig.3

Table 1

Travel information of intercity transportation modes"

交通方式	路段	$t a 2 m$ ( $t a 2 0$ )/h	$C a 2 m$ /(人·h^-1)	$l a 2$ /km	$x a 2 m 0$ /veh
小汽车	24	1.0	1500	100	1000
城际铁路	25	0.5	1000	90	—
城际客车	26	1.5	1000	100	—

Table 1

Table 2

Travel information of subway"

路段	$t a 2 m$ /h	$C a 2 m$ /(人·h^-1)	$x a 2 m 0$ /(人·h^-1)	路段	$t a 2 m$ /h	$C a 2 m$ /(人·h^-1)	$x a 2 m 0$ /(人·h^-1)
16	0.067	1000	500	39	0.067	1000	500
17	0.050	1000	600	40	0.100	1000	500
18	0.050	1000	500	41	0.125	1000	600
19	0.067	1000	700	42	0.125	1000	600

Table 2

Table 3

Travel information of bus"

路段	$t a 2 m$ /h	$C a 2 m$ /(人·h^-1)	$x a 2 m 0$ /(人·h^-1)	路段	$t a 2 m$ /h	$C a 2 m$ /(人·h^-1)	$x a 2 m 0$ /(人·h^-1)
20	0.083	1000	300	43	0.125	1000	300
21	0.067	1000	400	44	0.125	1000	300
22	0.167	1000	300	45	0.125	1000	400
23	0.200	1000	300	46	0.167	1000	300

Table 3

Table 4

Travel information of car"

路段	$t a 2 0$ /h	$C a 2 m$ /(人·h^-1)	$l a 2$ /km	$x a 2 m 0$ /(人·h^-1)	路段	$t a 2 0$ /h	$C a 2 m$ /(人·h^-1)	$l a 2$ /km	$x a 2 m 0$ /(人·h^-1)
4	0.125	1000	5	500	27	0.100	800	3	800
5	0.125	800	5	800	28	0.125	1000	4	1000
6	0.100	700	4	700	29	0.100	800	3	400
7	0.100	1000	4	1000	30	0.067	1000	3	1000
8	0.200	800	4	800	31	0.167	700	5	700
9	0.083	1000	4	1000	32	0.125	800	5	800
10	0.125	800	4	800	33	0.167	1000	5	1000
11	0.083	700	4	500	34	0.125	1000	4	1000
12	0.067	1000	3	500	35	0.067	800	3	800
13	0.167	1000	4	600	36	0.167	800	5	800
14	0.083	700	5	400	37	0.167	800	5	800
15	0.167	800	5	500	38	0.125	1000	4	1000

Table 4

Table 5

Travel information of transfer links"

路段	$T a 3$ /h	$T a 3 wait$ /h	路段	$T a 3$ /h	$T a 3 wait$ /h	路段	$T a 3$ /h	$T a 3 wait$ /h
47	0	0	52	0.167	0.33	57	0.250	0.167
48	0.083	0.5	53	0.25	0.33	58	0.083	0
49	0.167	0.5	54	0	0	59	0.167	0.050
50	0.250	0.5	55	0.167	0	60	0.250	0.167
51	0.083	0.33	56	0.167	0.05

Table 5

Table 6

Travel information of boarding/alighting links"

路段	$T a 1$ ( $T a 3 wait$ )/h	$T a 3 wait$ /h	路段	$T a 1$ ( $T a 3 wait$ )/h	$T a 3 wait$ /h
1	0.083	—	61	0.083	—
2	0.250	0.05	62	0.250	—
3	0.167	0.167	63	0.167	—

Table 6

Fig. 4

Fig. 5

References 10

[1]	JOURQUIN B, BEUTHE M. Transportation policy analysis with a geographic information system: The virtual network of freight transportation in Europe[J]. Transportation Research Part C: Emerging Technologies, 1996, 4(6):359-371. DOI: 10.1016/S0968-090X(96)00019-8. doi: 10.1016/S0968-090X(96)00019-8
[2]	熊丽音, 陆锋, 陈传彬. 城市多模式交通网络特征连通关系表达模型[J]. 武汉大学学报·信息科学版, 2008, 33(4):393-396.
[3]	CHEN S K, PENG H Q, LIU S, et al. A multimodal hierarchical-based assignment model for integrated transportation networks[J]. Journal of Transportation Systems Engineering and Information Technology, 2009, 9(6):130-135. DOI: 10.1016/S1570-6672(08)60093-8. doi: 10.1016/S1570-6672(08)60093-8
[4]	SI B F, ZHONG M, GAO L, et al. Hierarchical network-based equilibrium model and algorithm for a mixed-traffic urban transport system[J]. Transportation Planning and Technology, 2012, 35(5):545-559. DOI: 10.1080/03081060.2012.693268. doi: 10.1080/03081060.2012.693268
[5]	SHAN Q C, JIA L M, DONG H H. Design and application of public traffic transfer algorithm based on the logic network[C]// Proceeding of the 11th World Congress on Intelligent Control and Automation. Shenyang: IEEE, 2014: 3671-3676. DOI: 10.1109/WCICA.2014.7053327. doi: 10.1109/WCICA.2014.7053327
[6]	LOZANO A, STORCHI G. Shortest viable path algorithm in multimodal networks[J]. Transportation Research Part A: Policy and Practice, 2001, 35(3):225-241. DOI: 10.1016/S0965-8564(99)00056-7. doi: 10.1016/S0965-8564(99)00056-7
[7]	LOZANO A, STORCHI G. Shortest viable hyperpath in multimodal networks[J]. Transportation Research Part B: Methodological, 2002, 36(10):853-874. DOI: 10.1016/S0191-2615(01)00038-8. doi: 10.1016/S0191-2615(01)00038-8
[8]	李红莲. 可换乘条件下的城市多模式交通分配研究[D]. 北京: 北京交通大学, 2011.
[9]	汪勤政, 四兵锋. 换乘约束下城市多方式交通分配模型与算法[J]. 交通运输系统工程与信息, 2017, 17(4):159-165. DOI: 10.16097/j.cnki.1009-6744.2017.04.024. doi: 10.16097/j.cnki.1009-6744.2017.04.024
[10]	周豪, 四兵锋, 汪勤政. 考虑距离因素的多方式交通超级网络均衡配流模型及算法[J]. 山东科学, 2018, 31(3):66-75. DOI: 10.3976/j.issn.1002-4026.2018.03.011. doi: 10.3976/j.issn.1002-4026.2018.03.011

Multi-modal traffic assignment model and algorithm for an urban agglomeration considering entire travel process

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 11

References 10

Related Articles 2

Metrics

Comments

Recommended 0

[1]	CHENG Sijie, SHAO Xiaoming, LI Zhen, WANG Jiangfeng. Research on differentiated toll pricing for highways based on bi-level programming [J]. Shandong Science, 2023, 36(5): 93-101.
[2]	ZHOU Hao，SI Bing-feng，WANG Qin-zheng. Equilibrium assignment model and algorithm for multi-modal traffic super network considering distance factor [J]. SHANDONG SCIENCE, 2018, 31(3): 66-75.