交叉口无干扰条件下右转机动车轨迹建模
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摘要
利用视频提取技术,对不同几何条件交叉口的右转车辆数据进行采集,并利用Track pro软件获得车辆位置坐标,计算车辆平均运行轨迹;然后分别用对数函数和二次多项式对轨迹进行拟合,通过比较拟合结果,确定右转机动车轨迹模型为对数函数模型;同时通过分析交叉口转角、出口道位置、车辆速度等轨迹影响因素与轨迹参数之间的关系,对模型参数进行了标定;最后选择工程实例,利用实测数据对模型进行了验证。结果表明,利用模型计算的轨迹坐标点与实际值的最小相对误差为0.34%,验证了模型的有效性。
The video capture technology is used to collect the data of right-turning vehicles at the intersections of different geometric conditions. The Track pro software is used to capture the position coordinate of vehicle and to calculate the average trajectory of vehicle. Then, the logarithmic function and quadratic polynomial are respectively used to fit the trajectory. By comparing the fitting results, the trajectory model is determined as the logarithmic function model. Through the analysis on the relationship between the trajectory influencing factors of intersection angle, exit location and vehicle speed and the trajectory parameters, the model parameters are calibrated, and the trajectory model of right-turning vehicle is established. Finally, the model is verified by the measured data of the selected engineering examples. The result shows that the minimum relative error between the trajectory coordinate point of model calculation and the actual value is 0.34%, which verifies the availability of this model.
The video capture technology is used to collect the data of right-turning vehicles at the intersections of different geometric conditions. The Track pro software is used to capture the position coordinate of vehicle and to calculate the average trajectory of vehicle. Then, the logarithmic function and quadratic polynomial are respectively used to fit the trajectory. By comparing the fitting results, the trajectory model is determined as the logarithmic function model. Through the analysis on the relationship between the trajectory influencing factors of intersection angle, exit location and vehicle speed and the trajectory parameters, the model parameters are calibrated, and the trajectory model of right-turning vehicle is established. Finally, the model is verified by the measured data of the selected engineering examples. The result shows that the minimum relative error between the trajectory coordinate point of model calculation and the actual value is 0.34%, which verifies the availability of this model.
引文
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[2]苏岳龙,魏铮,程思瀚,等.信号交叉口右转机动车与行人和非机动车冲突研究[J].公路交通科技,2008,25(12):157-161.
[3]张茂民,刘伊生,裴玉龙.基于行人的信号交叉口右转车控制条件[J].公路交通科技,2008,25(9):136-139.
[4]苏岳龙,姚丹亚,张毅.基于机动车行人冲突分析的右转专用相位设置仿真[J].公路交通科技,2009,26(7):133-138.
[5]陈永恒,张虎,曲昭伟,等.信控交叉口提前右转机动车与行人冲突特性[J].西南交通大学学报,2014,49(5):896-903.
[6]Letia T S.Real-time approaches of urban vehicle traffic control[J].IEEE,2006,1(5):346-350.
[7]Barisone A,Giglio D,Minciardi R,et al.A macroscopic traffic model for real-time optimization of signalized urban areas[C]//Proceeding of the 41st IEEE Conference on Decision and Control.Las Vegas,Nevada USA:[s.n.],2002:900-903.
[8]Stover V G.Issues relating to the geometric design of intersections[C]//Proceedings of the 8th International Conference in ACCESS Management.Baltimore,MD,USA:[s.n.],2008:16-23.
[9]Stover V G,Koepke F J.Transportation and land development[M].2nd edition.[S.l.]:Delivery Service,2002,2:3-4.
[10]Walton C M,Gericke O.An assessment of changes in truck dimensions on highway geometric design principles and practices[J].Geometric Design,1981,241(1):2-4.
[11]Reed M.Intersection kinematics:A pilot study of driver turning behavior with application to pedestrian obscuration by A-pillars[J].Kinematics,2008,54:3-4.
[12]Alhajyaseen W K M,Asano M,Nakamura H,et al.Stochastic approach for modeling the effects of intersection geometry on turning vehicle paths[J].Transportation Research Part C:Emerging Technologies,2013,32:179-192.