基于改进元胞传输模型的城市路网实际阻抗计算方法

doi:10.13229/j.cnki.jdxbgxb20180968

摘要/Abstract

摘要：

为使元胞传输模型（CTM）适用于多节点、复杂交通情况的城市路网交通仿真，提高模型在实际道路阻抗估计方面的准确性，本文通过修正现有模型参数构建路段模型，并考虑到城市多节点对模型准确性的影响，提出一种节点元胞划分方法，构建了城市多节点路网VCTM并基于此改进了路段实际阻抗计算方法。最后，使用改进模型与VISSIM对案例路网进行仿真与分析。结果表明，改进模型能够体现出城市交通流特性，且考虑路网节点因素更符合实际，模型计算得到的实际阻抗与VISSIM输出数据吻合度高。本文模型和实际阻抗计算方法可以很好地应用于动态交通分配领域。

关键词: 交通运输系统工程, 动态交通分配, 元胞传输模型

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

中图分类号:

U491.1

常玉林,袁才鸿,孙超,张鹏. 基于改进元胞传输模型的城市路网实际阻抗计算方法[J]. 吉林大学学报(工学版), 2020, 50(1): 132-139.

Yu-lin CHANG,Cai-hong YUAN,Chao SUN,Peng ZHANG. Calculation method for actual impedance of urban network based on improved cell transmission model[J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(1): 132-139.

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参考文献 12

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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