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清华大学学报(自然科学版)  2017, Vol. 57 Issue (12): 1280-1286    DOI: 10.16511/j.cnki.qhdxxb.2017.21.032
  汽车工程 本期目录 | 过刊浏览 | 高级检索 |
基于MPC的多车纵向协同避撞算法
胡满江1, 徐彪1, 秦洪懋1, 徐成1, 丁可2, 王建强1
1. 清华大学 汽车工程系, 北京 100084;
2. 重庆长安汽车股份有限公司, 重庆 401120
MPC based longitudinal coordinated collision avoidance for multiple connected vehicles
HU Manjiang1, XU Biao1, QIN Hongmao1, XU Cheng1, DING Ke2, WANG Jianqiang1
1. Department of Automotive Engineering, Tsinghua University, Beijing 100084, China;
2. Chongqing Changan Automobile Co., Ltd., Chongqing 401120, China
全文: PDF(3883 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 车辆防撞预警系统在近年得到快速发展,有效提升了道路交通的安全性。然而现有避撞算法大多考虑相邻两车间的安全关系,并未涉及前车行为对连续后车造成的不利影响。该文提出一种基于模型预测控制(model predictive control,MPC)的多车纵向协同避撞算法,通过综合考虑队列运动学关系,基于模型预测控制,以总相对动能密度最小作为优化目标,将连续时间优化问题离散化为二次规划的数值计算,以避免或减少队列整体的碰撞损失。最后通过MATLAB进行数值仿真,验证了所提方法的有效性。
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胡满江
徐彪
秦洪懋
徐成
丁可
王建强
关键词 协同避撞相对动能密度模型预测控制    
Abstract:The rapid development of vehicle collision warning systems has improved the road traffic safety. Current collision avoidance strategies, however, solely focus on the relationship between two consecutive vehicles, while ignoring the influence of avoidance strategies on the traffic flow behind the vehicle. A longitudinal coordinated collision avoidance (CCA) strategy was developed based on model predictive control (MPC) for multiple connected vehicles. The model considers multiple vehicle flow dynamics to minimize the total relative kinetic energy density (RKED) as the objective with and the optimization problem in continuous time discretized into a quadratic programming problem for numerical calculations to avoid or reduce the total loss of vehicle collisions. The effectiveness of this method is verified by MATLAB simulations.
Key wordscoordinated collision avoidance (CCA)    relative kinetic energy density    model predictive control
收稿日期: 2016-12-30      出版日期: 2017-12-15
ZTFLH:  U461.91  
通讯作者: 王建强,教授,E-mail:wjqlws@tsinghua.edu.cn     E-mail: wjqlws@tsinghua.edu.cn
引用本文:   
胡满江, 徐彪, 秦洪懋, 徐成, 丁可, 王建强. 基于MPC的多车纵向协同避撞算法[J]. 清华大学学报(自然科学版), 2017, 57(12): 1280-1286.
HU Manjiang, XU Biao, QIN Hongmao, XU Cheng, DING Ke, WANG Jianqiang. MPC based longitudinal coordinated collision avoidance for multiple connected vehicles. Journal of Tsinghua University(Science and Technology), 2017, 57(12): 1280-1286.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2017.21.032  或          http://jst.tsinghuajournals.com/CN/Y2017/V57/I12/1280
  图1 典型场景及多车协同避撞系统总体设计
  表1 车辆参数统计
  表2 两种算法仿真统计结果
  表3 车辆仿真参数
  图4 (网络版彩图)DRBC仿真结果
  图5 (网络版彩图)RKED控制仿真结果
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