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Optimizing Traffic Flow among Traffic Zones Using Macroscopic Fundamental Diagrams

机译:使用宏观基本图优化交通区之间的交通流量

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Recent studies and empirical data showed that a macroscopic fundamental diagram (MFD) can reflect the relationship between the network vehicle density and the network efficiency, as well as the relationship between vehicle numbers in the network and vehicle numbers leaving the network. This paper proposes a traffic flow optimization model among traffic zones using macroscopic fundamental diagrams. Firstly, the coarser graph is used to represent the road network. Secondly, the traffic flow optimization model is proposed. The objective of the model is to maximize the total number of vehicles leaving the network at a certain period, where decision variables are traffic flow among traffic zones. Finally, micro-simulation is used to test and verify the validity of the proposed model. The results show that when the network congestion occurs, the proposed model can alleviate traffic congestion in the congested area and improve the overall operational efficiency of the network, which has important application value for preventing and alleviating traffic congestion of urban road networks.
机译:最近的研究和经验数据表明,宏观基础图(MFD)可以反映网络车辆密度与网络效率之间的关系,以及网络和离开网络的车辆号码之间的车辆数字之间的关系。本文提出了使用宏观基础图的交通区交通流优化模型。首先,较粗糙的图表用于表示道路网络。其次,提出了交通流优化模型。该模型的目的是最大化在一定时期内离开网络的车辆总数,其中决策变量是交通区域之间的业务流量。最后,微型仿真用于测试和验证所提出的模型的有效性。结果表明,当网络拥塞发生时,所提出的模型可以缓解拥挤区域中的交通拥堵,提高网络的整体运营效率,对预防和减轻城市道路网络的交通拥堵具有重要的应用价值。

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