V2V通信对生态路径选择的影响

F. I. Rahman
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引用次数: 3

摘要

摘要路线选择通常是考虑单个目标,就像在旅行时间、发射量和旅行距离中考虑单个目标一样。本文提出了一种考虑多目标行驶时间、排放和行驶距离的生态友好路线求解方法。采用Pareto最优和加权积模型进行多目标优化,采用Dijkstra最短路径算法进行路径选择。利用仿真软件AIMSUN进行微观仿真,逐秒采集车辆的速度和加速度曲线。车辆比功率(VSP)模型用于估算排放。使用车对车通信可以显著减少交通网络的排放。采用V2V通信系统,考虑出行时间和出行距离的路径选择,CO2、NOx、CO、HC分别可降低5.34%、9.57%、25.84%和3.67%。在考虑无V2V通信和有V2V通信时,路由选择模式也存在差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of V2V Communication on Eco-Route Choice
Abstract Usually, route choice is performed considering a single objective like considering a single object among travel time, emission, and travel distance. In this article, a methodology has been developed to find the eco-friendly route considering multi-objective-travel time, emission and travel distance. Pareto optimality and weighted product model are used for multi-objective optimization and route choice is done by Dijkstra’s shortest path algorithm. Simulation software, AIMSUN is used to perform micro-simulation for collecting second by second vehicle speed and acceleration profile. Vehicle Specific Power (VSP) model is used to estimate emission. Emission at the traffic network can be significantly reduced by using the vehicle to vehicle communication. Using the V2V communication system, CO2, NOx, CO, HC can be reduced up to 5.34%, 9.57%, 25.84%, and 3.67% respectively in route choice considering budget travel time and travel distance. The difference in route choice pattern has also found considering without and with V2V communication.
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