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A dynamic evolution model of disequilibrium network traffic flow with quantity regulation of congestion

WU Li-xuan HUANG Zhong-xiang WANG Yu-lan WEI Tao

吴立烜, 黄中祥, 王玉兰, 魏涛. 一种拥挤数量调节的非均衡网络交通流动态演化模型(英文)[J]. 交通运输工程学报, 2018, 18(3): 167-179. doi: 10.19818/j.cnki.1671-1637.2018.03.017
引用本文: 吴立烜, 黄中祥, 王玉兰, 魏涛. 一种拥挤数量调节的非均衡网络交通流动态演化模型(英文)[J]. 交通运输工程学报, 2018, 18(3): 167-179. doi: 10.19818/j.cnki.1671-1637.2018.03.017
WU Li-xuan, HUANG Zhong-xiang, WANG Yu-lan, WEI Tao. A dynamic evolution model of disequilibrium network traffic flow with quantity regulation of congestion[J]. Journal of Traffic and Transportation Engineering, 2018, 18(3): 167-179. doi: 10.19818/j.cnki.1671-1637.2018.03.017
Citation: WU Li-xuan, HUANG Zhong-xiang, WANG Yu-lan, WEI Tao. A dynamic evolution model of disequilibrium network traffic flow with quantity regulation of congestion[J]. Journal of Traffic and Transportation Engineering, 2018, 18(3): 167-179. doi: 10.19818/j.cnki.1671-1637.2018.03.017

一种拥挤数量调节的非均衡网络交通流动态演化模型(英文)

doi: 10.19818/j.cnki.1671-1637.2018.03.017
基金项目: 

National Natural Science Foundation of China 51338002

Open Fund of Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road and Traffic Safety of Ministry of Education(Changsha University of Science and Technology) kfj160402

Educational Commission of Hunan Province of China 17C0058

详细信息
  • 中图分类号: U491.112

A dynamic evolution model of disequilibrium network traffic flow with quantity regulation of congestion

Funds: 

National Natural Science Foundation of China 51338002

Open Fund of Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road and Traffic Safety of Ministry of Education(Changsha University of Science and Technology) kfj160402

Educational Commission of Hunan Province of China 17C0058

More Information
    Author Bio:

    WU Li-xuan(1979-), female, lecturer, doctoral student, penny_wlx@163.com

    Corresponding author: HUANG Zhong-xiang(1965-), male, professor, PhD, mehzx@126.com
  • 摘要: 基于经济学非瓦尔拉斯均衡理论, 采用经济学中市场摸索过程模拟出行者路径选择行为; 假设城市出行者在路径决策过程中, 考虑路径出行时间和关键路径拥挤程度的共同影响, 以价格拥挤混合均衡交通流模式为基础, 建立了一种价格-拥挤混合调节的非均衡网络交通流动态演化模型, 并验证了模型稳定状态与均衡的等价性; 基于简单的测试网络和中型路网, 对演化模型进行了模拟, 描述了非均衡网络交通流的演化过程与非均衡状态下交通网络的整体表现。研究结果表明: 时间价格调节模型的演化结果符合经典的Wardrop第一原理, 拥挤数量调节的结果使得OD间各路径上关键路段的拥挤程度一致, 价格-拥挤混合调节的结果会使路径流在走行费用较小和拥挤程度较低的路径上相互进行调整, 其动态演化过程波动性要大于单一调节的情况; 在测试路网中, 考虑采用拥挤程度对路径进行选择的行为, 使得整个路网拥挤均匀程度整体提高62%, 但路段饱和度均值却从0.60增大到了0.64, 表明路网整体上变得拥挤; 若考虑两者的共同调节, 最拥堵路段饱和度从0.936下降到0.787, 均匀程度整体提高46%, 且路段饱和度均值降低, 路径行程时间变小, 拥堵得到改善; 中型路网的测试结果也表明这种混合均衡模式能灵活、客观地描述路网交通流动态演化过程, 获得较为合理的路网系统的稳态流量。

     

  • Figure  1.  Test traffic network[10]

    Figure  2.  Dynamic adjustment process of price regulation

    Figure  3.  Local dynamic adjustment process of price regulation

    Figure  4.  Dynamic adjustment process of congestion regulation

    Figure  5.  Local dynamic adjustment process of congestion regulation

    Figure  6.  Dynamic adjustment process of mixed regulation

    Figure  7.  Local dynamic adjustment process of mixed regulation

    Figure  8.  Medium size test traffic network

    Figure  9.  Dynamic adjustment process of partial path flows

    Table  1.   Cost function parameters

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    Table  2.   Evolution model parameters

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    Table  3.   Fixed demand equilibrium network path flow, cost and maximum congestion degree

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    Table  4.   Fixed demand equilibrium network path flow and maximum congestion degree

    Table  5.   Fixed demand equilibrium network path flow, cost and maximum congestion degree

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    Table  6.   Calculated values of saturation of road link under different regulation mechanisms

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    Table  7.   Parameters of each link cost function

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    Table  8.   Fixed demand equilibrium network path flow, cost and maximum congestion degree

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出版历程
  • 收稿日期:  2017-12-18
  • 刊出日期:  2018-06-25

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