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Signal Timing Optimization Model of Urban Road Intersection Based on Multi-factor

机译:基于多因素的城市道路交叉口信号配时优化模型

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As the congestion point of urban road network, it is critical to keep the intersection traffic clear. The model was built targeting on decreasing vehicle delays and vehicle emissions, taking traffic queens, stopping time, road capacity and capacity utilization as verification indicators with two constraint conditions which are cycle time length and green ratio by means of genetic algorithm. And the dynamic vehicle emissions rate was taken into account. According to the data of Ke Ji Road-Feng Huinan Road intersection and Tong Yi Road-Tong De Road intersection, which show that the method is practical, and traffic queens, stopping time, vehicle delays, vehicle emissions decrease 34.03%,28.79%,48.73% and 28.04% at most, road capacity and capacity utilization increase 15.67% and 7.74% at most.
机译:作为城市道路网的拥堵点,保持十字路口交通畅通至关重要。该模型针对减少车辆的延误和排放,以交通拥堵,停车时间,道路通行能力和通行能力利用率为验证指标,并通过遗传算法确定了两个约束条件,即循环时间长度和绿化率。并且考虑了动态车辆排放率。根据科纪路-丰惠南路交叉口和通义路-同德路交叉口的数据表明,该方法是实用的,交通拥堵,停车时间,车辆延误,车辆排放减少了34.03%,28.79%,道路通行能力和通行能力利用率最高分别为48.73%和28.04%,分别为15.67%和7.74%。

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