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

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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

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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
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