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Velocity Planning System Based on Intelligent Vehicle Infrastructure Cooperative Technology

机译:基于智能车辆基础设施合作技术的速度规划系统

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Travel time, fuel consumption and carbon dioxide emissions are directly related to the vehicle velocity. In this paper, we aim to give a velocity planning system based on intelligent vehicle infrastructure cooperative technology. The system contains two units: road side unit (RSU) and on board unit (OBU). RSU and OBU exchange information with ZigBee protocol. RSU gives dynamic speed advice to OBU by velocity planning algorithm so that the probability of having a green phase is maximized when approaching signalized intersections and the vehicle never exceeds the speed limit and it will pass through the intersection without coming to a stop and driver maybe get to destination without idling. Using a stochastic simulation technique, the velocity planning algorithm has been tested on Veins platform, the results show that the energy/emission savings for vehicles with velocity planning system are found to be 26%~27% and the travel time on an average is 1.8% shorter for the vehicles with velocity planning system as compared to the vehicles without velocity planning system.
机译:旅行时间,燃料消耗和二氧化碳排放与车辆速度直接相关。在本文中,我们的目标是基于智能车辆基础设施协同技术的速度规划系统。该系统包含两个单位:道路侧单元(RSU)和船上单元(OBU)。 RSU和OBU与ZigBee协议交换信息。 RSU通过速度规划算法向OBU提供动态速度建议,使得在接近信号交叉口时具有绿色相位的概率最大化,并且车辆永远不会超过速度限制,它将通过交叉路口而不发生停止和驾驶员到目的地没有怠速。使用随机仿真技术,速度规划算法已在静脉平台上进行测试,结果表明,速度规划系统的车辆的能量/排放量被发现为26%〜27%,平均旅行时间为1.8与没有速度规划系统的车辆相比,具有速度规划系统的车辆较短。

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