摘要
文章在换道过程分析研究的基础上,将换道轨迹规划过程分为换道方案生成阶段、变速调整阶段和匀速换入阶段3个阶段;将局部动态规划变成拟静态规划,考虑了无人车机器的反应时间,使实际换道执行时间更加准确。该文在车辆运动学约束和G2连续要求下控制车辆换道轨迹,在变速调整阶段控制主车加速度使得主车到达换道速度和换入位置,在匀速换入阶段运用五次多项式换道轨迹规划方法规划匀速换入的轨迹。通过仿真分析,发现该文提出的换道轨迹满足车辆实际运行要求,在动态仿真过程中证明了换道轨迹安全可行;与传统五次多项式规划轨迹比较,该文提出的换道轨迹规划过程可以提高换道成功率。
Based on the analysis of lane-changing process, the lane-changing trajectory planning process is divided into three stages: the generation stage of lane-changing planning, speed adjustment stage and uniform lane-changing stage. The local dynamic planning is replaced by quasi static planning and the reaction time of automated vehicle machine is considered, so the actual execution time of lane change is more accurate. In this paper, the lane-changing trajectory is generated under vehicle kinematics constraints and G2 continuous requirements. Through controlling the acceleration of subject vehicle in speed adjustment stage, the subject vehicle can reach the lane-changing speed and lane-changing position. Then the quintic polynomial trajectory planning method is applied to planning lane-changing trajectories in uniform lane-changing stage. Finally, the simulation analysis shows that the lane-changing trajectory meets the vehicle operation requirements, and the dynamic simulation proves that the lane-changing trajectory is safe and feasible. Compared with the traditional quintic polynomial trajectory, it is also shown that the proposed lane-changing trajectory can increase the success rate of lane change.
引文
[1] WORRALL R D,BULLEN A G R.An empirical analysis of lane changing on multilane highways[J].Highway Research Record,1970(303):30-43.
[2] YANG Q I,KOUTSOPOULOS H N.A microscopic traffic simulator for evaluation of dynamic traffic management systems[J].Transportation Research Part C Emerging Technologies,1996,4(3):113-129.
[3] MORIDPOER S,ROSE G,SARVI M.Modelling the heavy vehicle drivers’ lane changing decision under heavy traffic conditions[J].Road & Transport Research A Journal of Australian & New Zealand Research & Practice,2009,18(4):49-57.
[4] 孙剑.交通流分布式微观仿真的同步算法研究与实现[D].长春:吉林大学,2003.
[5] WINSUM W V,WAARD D D,BROOKHUIS K A.Lane change manoeuvres and safety margins[J].Transportation Research Part F Traffic Psychology & Behaviour,1999,2(3):139-149.
[6] 杨建国,王金梅,李庆丰,等.微观仿真中车辆换道的行为分析和建模[J].公路交通科技,2004,21(11):93-97.
[7] 黄秋菊.车道变换行为特性及其对交通安全影响的研究[D].哈尔滨:哈尔滨工业大学,2007.
[8] CHOJ J W,CURRY R,ELKAIM G.Path planning based on Bézier curve for autonomous ground vehicles[C]//Advances in Electrical and Electronics Engineering-IAENG Special Edition of the World Congress on Engineering and Computer Science 2008,WCECS’08.[S.l:s.n.],2008:158-166.
[9] 陈成,何玉庆,卜春光,等.基于四阶贝塞尔曲线的无人车可行轨迹规划[J].自动化学报,2015,41(3):486-496.
[10] 李玮,高德芝,段建民.智能车辆自由换道模型研究[J].公路交通科技,2010,27(2):119-123.
[11] CONNORS J,ELKAIM G.Analysis of a spline based,obstacle avoiding path planning algorithm[C]//IEEE Vehicle Technology Conference,IEEE VTC 2007.[S.l.:s.n.],2007:2565-2569.
[12] YOU F,ZHANG R,GUO L,et al.Trajectory planning and tracking control for autonomous lane change maneuver based on the cooperative vehicle infrastructure system[J].Expert Systems with Applications,2015,42(14):5932-5946.
[13] 马川.智能车辆轨迹规划和控制算法研究[D].淄博:山东理工大学,2013.
[14] LUO Y,XIANG Y,CAO K,et al.A dynamic automated lane change maneuver based on vehicle-to-vehicle communication[J].Transportation Research Part C Emerging Technologies,2016,62:87-102.