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An Eco-speed Optimization for Multiple Signalized Intersections Based on V2I

机译:基于V2I的多个信号交叉口的生态速度优化

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Vehicles driving on urban roads often take a sharp acceleration or braking due to unpredictable status changes of traffic lights at intersections or wait for the green signals. All of these situations cause wastag of fuel and a low of traffic efficiency. This paper describes the detailed scheme of an Eco-Driving Assistance System (EDAS) based on communication on vehicle-to-infrastructure (V2I). Under the condition of ensuring efficiency of transportation, the objective is to formulate an optimized function which minimizes the fuel consumption of vehicles traveling from the start point to their destination. In this paper, the proposal of most economical fuel consumption versus speed is concluded by comparing the fuel consumption in different driving models. The algorithm can effectively reduce the fuel consumption of vehicles driving through the intersections inside cities by using less time of computation in the simulation by using MATLAB.
机译:由于交叉路口的交通灯的不可预测状态变化或等待绿色信号,所以在城市道路上驾驶的车辆经常采取急剧加速或制动。所有这些情况都会导致燃料的速度和较低的交通效率。本文介绍了基于车辆到基础设施(V2I)的通信的生态驾驶辅助系统(EDAS)的详细方案。在确保运输效率的条件下,目的是制定优化的功能,这使得从起点到目的地行驶的车辆的燃料消耗最小化。在本文中,通过比较不同驾驶模型的燃料消耗来结束最经济燃料消耗与速度的提议。通过使用MATLAB在模拟中使用较少的计算时,该算法可以有效地降低通过城市内部的交叉口驱动的车辆的燃料消耗。

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