信号交叉口车辆生态驾驶速度优化策略  

Optimization strategy of ecological driving speed of vehicles at signal intersections

作　　者：宋成举[1] 尹耀君 范本科 昝永俊 SONG Chengju;YIN Yaojun;FAN Benke;ZAN Yongjun(College of Civil and Transportation,Northeast Forestry University,Harbin 150040,China)

机构地区：[1]东北林业大学土木与交通学院,哈尔滨150040

出　　处：《交通科技与经济》2024年第6期16-22,共7页Technology & Economy in Areas of Communications

基　　金：国家自然科学基金项目(52072143);黑龙江省自然科学基金项目(LH2020G002);中央高校基本科研业务费专项资金项目(2572020BG02)。

摘　　要：为提高交叉口车辆通行效率,降低车辆因频繁启停造成的能耗及污染物排放,提出一种考虑排队长度动态变化的信号交叉口车辆生态驾驶速度优化策略。首先,根据排队长度预测目标车辆与排队队列的碰撞时间(TTC)。其次,将目标车辆通行策略分为匀速、加速、减速三种情况建立通行决策模型,结合改进的三角函数速度优化模型计算最优通行速度,确保车辆以平滑的速度顺利通过信号交叉口。最后,在不同排队长度场景下进行仿真实验,对比分析速度优化策略与无速度优化策略的时空轨迹。仿真结果表明,提出的速度优化策略既可以提高绿灯利用率,又可以降低目标车辆的燃油消耗,相较于无速度优化策略驾驶,燃油消耗最多可降低19.5%,对信号交叉口处车辆生态驾驶有积极作用。To improve the traffic efficiency of the intersection of vehicles and reduce the energy consumption caused by frequent start and stop,a speed optimization strategy of eco-driving at signal intersections considering the dynamic change of queuing length is proposed.First,predict the time to collision(TTC)between the target vehicle and the queue based on the queue length.Secondly,the target vehicle traffic strategy is divided into three situations:uniform speed,acceleration and deceleration,and the optimal traffic speed is calculated combined with the improved trigonometric function velocity induction model,ensure that the vehicle passes through the signal intersection at a smooth speed.Finally,simulation experiments were performed under different queuing length scenarios to compare the spatial otemporal trajectory under the speed optimization strategy and no speed optimization strategy.The simulation results show that the proposed speed optimization strategy can improve the green light utilization and reduce the fuel consumption of the target vehicle by up to 19.5%compared to the driving without speed optimization strategy,which has a positive effect on the ecological driving of vehicles at signal intersections.

关 键 词：智能交通 通行策略 速度优化 三角函数模型 排队队列 碰撞时间 

分 类 号：U491.2[交通运输工程—交通运输规划与管理]