Journal of Jilin University(Engineering and Technology Edition) ›› 2020, Vol. 50 ›› Issue (1): 132-139.doi: 10.13229/j.cnki.jdxbgxb20180968

Previous Articles    

Calculation method for actual impedance of urban network based on improved cell transmission model

Yu-lin CHANG(),Cai-hong YUAN,Chao SUN,Peng ZHANG   

  1. School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
  • Received:2018-09-21 Online:2020-01-01 Published:2020-02-06

RICH HTML

 3   

PDF (PC)

789

Abstract:

To make Cell Transmission Model (CTM) suitable for urban network traffic simulation with multi nodes and complex traffic conditions, and improve the accuracy of the model in estimation of road actual impedance, a improved road model is constructed by modifying the parameters of existing model. The influence of multi nodes on the accuracy of model is taken into consideration, and a node cell partition method is proposed. Then the Variable CTM (VCTM) for urban multi nodes network is constructed and the actual impedance calculation method of road is improved based on this. Simulation and analysis of case network are carried out by the improved model and VISSIM. The results show that the improve model can reflect the characteristics of urban traffic flow, and the node model is more consistent with the reality. The actual impedance calculated by the model is in good agreement with VISSIM output data. The improved model and the actual impedance calculation method can be well applied to the dynamic traffic assignment.

Key words: traffic and transpotation systems engineering, dynamic traffic assignment, cell transmission model

CLC Number: 

  • U491.1

Fig.1

Variable cell schematic diagram"

Fig.2

Metastable traffic diagram"

Fig.3

Node cell division diagram"

Fig.4

Traffic inflow driving state diagram"

Fig.5

Cell abstract extension graph of network"

Fig.6

VISSIM simulation diagram"

Fig.7

Cell time-density curve of case road"

Fig.8

Flow contrast graph of case network"

Table 1

Analysis of simulation results of road network"

路段 VISSIM行程时间 实际阻抗 误差/%
1 62.3 67.4 8.19
2 61.1 59.7 2.29
3 16.8 18.4 9.52
4 16.5 17.6 6.67
5 48.5 50.1 3.30
6 49.2 49.8 1.22
7 93.2 89.2 4.29
8 96.4 91.3 5.29
9 92.5 90.5 2.16
10 92.0 90.8 1.30
11 33.0 35.4 7.27
12 50.3 48.6 3.38
13 78.7 80.0 1.65
14 96.9 88.7 8.46
1 Daganzo C F . The cell transmission model: a dynamic representation of highway traffic consistent with the hydrodynamic theory[J]. Transportation Research Part B: Methodological, 1994, 28(4): 269-287.
2 Daganzo C F . The cell transmission model, part II: Network traffic[J]. Transportation Research Part B: Methodological, 1995, 39(2): 79-93.
3 胡晓健, 王炜, 盛慧 . 基于可变元胞传输模型的城市道路交通流估计方法[J]. 交通运输系统工程与信息, 2010, 10(4): 73-78.
Hu Xiao-jian , Wang Wei , Sheng Hui . Urban traffic flow prediction with variable cell transmission model[J]. Journal of Transportation Systems Engineering and Information Technology, 2010, 10(4): 73-78.
4 闫海兰 . 基于改进元胞传输模型的城市区域路网建模与仿真分析[D]. 西安：长安大学电子与控制工程学院, 2014.
Yan Hai-lan . Modeling and simulation analysis of city regional road network based on improved cellular transmission model[D]. Xi’an: School of Electronic and Control Engineering, Chang’an University, 2014.
5 Srivastava A , Jin W L , Lebacque J P . A modified cell transmission model with realistic queue discharge features at signalized intersections[J]. Transportation Research Part B: Methodological, 2015, 81(1): 302-315.
6 姚凯斌, 林培群 . 一种考虑交叉口因素的改进元胞传输模型[J]. 交通运输系统工程与信息, 2017, 17(3): 105-111.
Yao Kai-bin , Lin Pei-qun . An improved cell transmission model considering intersection factor[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(3): 105-111.
7 Nagel K , Wagner P , Woesler R . Still flowing: approaches to traffic flow and traffic jam modeling[J]. Operations Research, 2003, 51(5): 681-710.
8 杨泳, 严余松, 户佐安,等 . 城市快速路改进型元胞传输模型及仿真[J]. 公路交通科技, 2015, 32(6): 135-141.
Yang Yong , Yan Yu-song , Hu Zuo-an , et al . An improved cell transmission model for urban expressway and simulation[J]. Journal of Highway and Transportation Research and Development, 2015, 32(6): 135-141.
9 安成川 . 城市道路交通元胞传输模型构建方法及评估研究[D]. 南京：东南大学交通运输学院,2013.
An Cheng-chuan . Research on developing method and evaluation of a cell transmission model for urban roads[D]. Nanjin: School of Transportation， Southeast University, 2013.
10 Hong K L , Szeto W Y . A cell-based variational inequality formulation of the dynamic user optimal assignment problem[J]. Transportation Research Part B: Methodological, 2002, 36(5): 421-443.
11 连爱萍 . 城市动态网络交通流分配及相关问题的研究[D]. 北京：北京交通大学交通运输学院, 2007.
Lian Ai-ping . Research on urban dynamic network traffic assignment and relevant problem[D]. Beijing: School of Traffic and Transportation, Beijing Jiaotong University, 2007.
12 马明辉,杨庆芳,梁士栋 . 基于元胞传输模型的高速公路可变限速控制[J]. 华中科技大学学报：自然科学版, 2015, 43(9):46-50.
Ma Minghui , Yang Qin-fang , Liang Shi-dong . Variable speed limits control for freeway based on cell transmission model[J]. Journal of Huazhong University of Science and Technology(Natural Science Edition), 2015, 43(9):46-50.
[1] YANG Zhao-Sheng, YUAN Man-Rong, YANG Wei. Route selection model in emergency evacuation based on quasiuser optimum dynamic traffic assignment [J]. 吉林大学学报(工学版), 2010, 40(增刊): 133-0137.
[2] YU De-Xin, ZHANG Mao-Lei, YANG Zhao-Sheng. Dynamic traffic assignment model based on emergency evacuation passageway under the condition of disaster [J]. 吉林大学学报(工学版), 2010, 40(增刊): 138-0141.
[3] Ji Changxu, Yang Nan, Hu Juanjuan,Chen Xin. Information processing in integration of urban traffic flow guidance system and traffic control system [J]. 吉林大学学报(工学版), 2006, 36(增刊1): 140-0143.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd