智能交通环境下车辆群体速度优化控制方法研究  

Research on Speed Optimization Control for a Group of Vehicles Under Intelligent Transportation System Environments

作　　者：吕少文 杨立越 金南旭 郑春花[2] LV Shaowen;YANG Liyue;KIM Namwook;ZHENG Chunhua(Mechanical Design Engineering,Hanyang University,Ansan 15588,South Korea;Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,China)

机构地区：[1]汉阳大学机械设计工程系,安山15588 [2]中国科学院深圳先进技术研究院集成所,深圳518055

出　　处：《集成技术》2020年第5期15-26,共12页Journal of Integration Technology

基　　金：深圳市小孔雀项目(KQJSCX20180330170047681);深圳无人驾驶感知决策与执行技术工程实验室计划项目(Y7D004);深圳电动汽车动力平台与安全技术重点实验室计划项目。

摘　　要：为降低智能交通系统中车辆的能量消耗,该研究以智能网联汽车为研究对象,提出了一种车辆速度优化控制方法。该方法以车辆的能量消耗模型为依据,综合考虑了其他车辆以及交通信号灯配时对车速的影响。通过瞬时优化算法实时计算出经济车速,从而降低车辆的能量消耗并减少车辆的信号灯等待时间。为验证其有效性,该研究提出了3种基准测试方法,并在Vissim/Autonomie联合仿真平台上对几种方法进行了比较。结果显示,该方法分别实现了14.32%、9.74%和73.72%的能耗降低。This paper proposes an optimal speed controlling method to reduce the energy consumption of connected and automated vehicles(CAVs). The proposed method considers not only the surrounding vehicles but also the signal phase and timing(SPAT) information. By determining the economic speed for each vehicle in real time based on the instantaneous optimization, energy consumption and signal waiting time of each vehicle can be reduced. To evaluate feasibility of the proposed method, three benchmark methods are introduced and used for comparison on the Vissim/Autonomie co-simulation platform. The results showed that,energy consumption of the proposed method can be reduced by 14.32%, 9.74%, and 73.72%, respectively in comparison with three benchmark methods.

关 键 词：智能交通系统 智能网联汽车 交通信号灯配时 瞬时优化 经济车速 

分 类 号：U469.7[机械工程—车辆工程]