吉林大学学报(工学版) ›› 2024, Vol. 54 ›› Issue (11): 3209-3219.doi: 10.13229/j.cnki.jdxbgxb.20221644

• 交通运输工程·土木工程 • 上一篇    下一篇

考虑定制公交及公交专用道的混合逐日均衡模型

常玉林1,2,3(),王逸杰1,王建4,孙超1,2(),张鹏1,徐文倩1   

  1. 1.江苏大学 汽车与交通工程学院,江苏 镇江 212013
    2.南通理工学院 汽车工程学院,江苏 南通 226002
    3.东南大学 城市智能交通江苏省重点实验室,南京 211189
    4.东南大学 交通学院,南京 211189
  • 收稿日期:2022-12-31 出版日期:2024-11-01 发布日期:2023-07-23
  • 通讯作者: 孙超 E-mail:ylchang@ujs.edu.cn;chaosun@ujs.edu.cn
  • 作者简介:常玉林(1963-),男,教授,博士.研究方向:交通运输系统规划与优化技术.E-mail:ylchang@ujs.edu.cn
  • 基金资助:
    国家重点研发计划项目(2021YFB1600100);国家自然科学基金项目(71801115);中国博士后科学基金项目(2021M691311)

Day-to-day equilibrium model of mixed traffic flow considering customized bus and exclusive bus lane

Yu-lin CHANG1,2,3(),Yi-jie WANG1,Jian WANG4,Chao SUN1,2(),Peng ZHANG1,Wen-qian XU1   

  1. 1.School of Automotive and Traffic Engineering,Jiangsu University,Zhenjiang 212013,China
    2.College of Automotive Engineering,Nantong Institute of Technology,Nantong 226002,China
    3.Jiangsu Key Laboratory of ITS,Southeast University,Nanjing 211189,China
    4.School of Transportation,Southeast University,Nanjing 211189,China
  • Received:2022-12-31 Online:2024-11-01 Published:2023-07-23
  • Contact: Chao SUN E-mail:ylchang@ujs.edu.cn;chaosun@ujs.edu.cn

摘要:

为研究小汽车、常规公交、定制公交混合交通流中出行者的逐日路径选择行为及其对路网的影响,本文首先对3种出行方式的特征进行分析,同时考虑到公交专用道这一公交优先方式,将路段分为无公交专用道的路段和有公交专用道的路段,从而构建混合交通流下的道路阻抗函数,并基于此进一步运用交通网络理论建立混合逐日均衡模型。选取含有多OD对出行需求的路网进行了数值模拟,仿真结果表明:经验依赖程度对定制公交出行者的影响大于小汽车出行者;为路径设置公交专用道会提升定制公交的路径流量,但效果的显著性具有差距;常规公交出行者比例过大时可能会增加总出行时间,而定制公交所吸引的小汽车出行者比例越大越能降低总出行时间,且设置公交专用道是否能降低总出行时间与这两项比例的大小密切相关。

关键词: 交通运输系统工程, 混合逐日均衡, 迭代加权算法, 定制公交, 公交专用道

Abstract:

To study the day-to-day route choice behavior of travelers under the mixed traffic flows of cars, conventional buses and customized buses and its impact on the traffic network, the characteristics of the three travel modes were analyzed first. At the same time, considering the exclusive bus lane as the public transit priority mode, the links were divided into links without exclusive bus lanes and links with exclusive bus lanes, so as to establish the link impedance function under mixed traffic flows. Based on the link impedance function, the traffic network theory was further used to establish the mixed day-to-day equilibrium model. A traffic network with multiple OD travel demand was selected for numerical simulation. The simulation results showed that the influence of experience dependence on customized bus travelers is greater than that on car travelers. Setting exclusive bus lanes can improve the route flows of customized buses, but the significance of the effect is different under different circumstances. When the proportion of conventional bus travelers is too large, the total travel time of all travelers may increase, while the larger the proportion of car travelers attracted by customized buses, the lower the total travel time, and whether the setting of exclusive bus lanes will reduce the total travel time is closely related to the size of these two proportions.

Key words: engineering of communication and transportation, mixed day-to-day equilibrium, iterative weighted algorithm, customized bus, exclusive bus lane

中图分类号: 

  • U491

图1

Nguyen-Dupuis网络"

表1

OD对路径-路段关系"

OD对路径路段
(1,2)12-18-11
21-5-7-9-11
31-5-7-10-15
41-5-8-14-15
51-6-12-14-15
62-17-7-9-11
72-7-10-15-17
82-17-8-14-15
(1,3)91-5-7-10-16
101-5-8-14-16
111-6-12-14-16
122-17-7-10-16
131-6-13-19
143-5-7-9-11
(4,2)153-5-7-10-15
163-5-8-14-15
174-12-14-15
184-12-14-15
193-6-12-14-15
(4,3)203-5-7-10-16
213-5-8-14-16
223-6-12-14-16
234-13-19
243-6-13-19
254-12-14-16

表2

路段特性数据"

路段

编号

路段总容量

/(pcu·h-1

公交专用道容量/(pcu·h-1

零流出行时间

/min

19003007
270008
37002009
4900014
58002505
66002009
79003005
8500013
930005
104001009
11700010
1270020010
1360009
147002008
157002009
167002008
1730007
18700015
19700011

表3

出行需求数据"

wQw/(人·h-1λwμw
(1,2)3 2000.40.3
(1,3)80000.2
(4,2)60000.2
(4,3)2 0000.40.3

图2

路径20的实际出行时间演化过程"

图3

OD对(1,2)的部分路径小汽车流量演化过程"

图4

OD对(1,2)的部分路径定制公交流量演化过程"

图5

OD对(4,3)的部分路径小汽车流量演化过程"

图6

OD对(4,3)的部分路径定制公交流量演化过程"

图7

均衡状态下各路段的流量"

图8

不同λ(1,2)和μ(1,2)值下第100天时路网中出行者的总出行时间"

图9

不同λ(1,2)和μ(1,2)值下第100天时路网中出行者的总出行时间 (N(2)=25,N(3)=15)"

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