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Speed Guidance Model of Urban Expressways Based on a Meso-Traffic Simulation Model under Severe Weather

机译:恶劣天气下基于细观交通仿真模型的城市高速公路速度引导模型

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The paper establishes the speed guidance model of urban expressway based on meso-simulation traffic flow model, which can provide the role of speed control and short-term traffic prediction according to the real-time severe weather. And the model regards gross vehicle travel time as the objective function and the weather condition as influence factors to optimize the design of model and be implemented by C++. Then, it simulates and analyses the results based on the east line of the southern section of Shanghai North-South Elevated road. Simulation result shows that both speed variance and speed mean square error decrease remarkably. The speed guidance control reduces the overall difference of speed of the traffic flow that can improve traffic safety and the model is effective.
机译:本文基于中观模拟交通流模型建立了城市高速公路的速度引导模型,该模型可以根据实时的恶劣天气提供速度控制和短期交通预测的作用。该模型将车辆总行驶时间作为目标函数,将天气状况作为影响因素,以优化模型的设计并由C ++实现。然后,基于上海南北高架路南段的东线,对结果进行模拟和分析。仿真结果表明,速度方差和速度均方误差均明显降低。速度引导控制减小了交通流速度的总体差异,可以提高交通安全性,并且模型是有效的。

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