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An Optimization Model of Short Lanes at Intersections Based on Vehicle Specific Power

机译:基于车辆比功率的十字路口短车道优化模型

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To reduce delays and traffic emissions at intersections, the operating characteristics of intersections acquired by VISSIM, a method of calibrating emission factors during signal at intersection, is proposed on basis of VSP. Combined with operations research and traffic engineering theory, an optimization model of short lane length is established. The objectives of the model are to minimize vehicle delays and emissions. Considering pollutants of CO, HC, and NOx in car exhaust, simulation experiments are designed by VISSIM. Considering the vehicle data, the algorithms of calibrating the model parameters and solving the optimization models are programmed and calibrated by MATLAB. The results show the optimal length makes the average delay and traffic emissions decrease by 11% and 6.7%, respectively. The research can effectively decrease vehicle delays, reduce emissions at intersections, and provide a theory for intersection design and channelization optimization model connected with traffic emission.
机译:为了减少交叉口的延误和交通排放,提出了一种基于VSP的VISSIM获取的交叉口的运行特性,该方法是一种对交叉口信号发射因子进行标定的方法。结合运筹学和交通工程理论,建立了短车道长度优化模型。该模型的目标是最大程度地减少车辆延误和排放。考虑到汽车尾气中的CO,HC和NOx污染物,VISSIM设计了模拟实验。考虑车辆数据,通过MATLAB对模型参数的标定和优化模型的求解算法进行编程和标定。结果表明,最佳长度使平均延迟和交通排放量分别减少了11%和6.7%。该研究可有效减少车辆延误,减少交叉口排放,为交叉口设计和交通排放相关的通道优化模型提供理论依据。

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