混合交通流下交叉路口自行车速度检测仿真

发布时间：2019-04-13 09:45

【摘要】：混合交通流下对自行车速度进行检测,可以有效解决交叉口处机动车受自行车干扰严重的问题。对交叉路口自行车速度的检测,需要建立交叉路口微观行为模型,得到交叉路口自行车速度判断阈值,完成速度检测。传统方法先给出自行车个体行为之间的差异性,得到自行车之间的动态作用力、摩擦力,但忽略了,得到交叉路口自行车速度判断阈值,导致检测精度偏低。提出基于logistic回归的混合交通流下交叉路口自行车速度检测方法。根据混合交通流下交叉路口实时通行状态方程,计算出混合交通流下交叉路口自行车流变化状态,创建右转机动车通行能力与自行车到达率之间的灵敏度判断方程,建立混合交通流下交叉路口微观行为模型,得到交叉路口自行车速度判断阈值,完成对交叉路口自行车速度检测。仿真证明,所提方法检测精度较高,充分保障车辆在交叉路口的安全稳定的运行。
[Abstract]:The detection of bicycle speed under mixed traffic flow can effectively solve the problem that motor vehicles are seriously disturbed by bicycles at intersections. In order to detect the bicycle speed at the intersection, it is necessary to establish the microscopic behavior model of the intersection, obtain the threshold value of the bicycle speed at the intersection, and complete the speed detection. The traditional method first gives the difference between the individual behaviors of bicycles, obtains the dynamic force and friction force between bicycles, but neglects to get the threshold of bicycle speed judgment at the intersection, which leads to the low detection accuracy. A bicycle speed detection method based on logistic regression for mixed traffic flow intersection is proposed. According to the real-time traffic state equation of the intersection under the mixed traffic flow, the change state of the bicycle flow at the intersection under the mixed traffic flow is calculated, and the sensitivity judgment equation between the capacity of the right-turn motor vehicle and the arrival rate of the bicycle is established. The microscopic behavior model of the intersection under mixed traffic flow is established, and the threshold value of bicycle speed is obtained, and the bicycle speed detection at the intersection is completed. Simulation results show that the proposed method has high detection accuracy and fully guarantees the safe and stable operation of the vehicle at the intersection.
【作者单位】：长安大学公路学院;江西农业大学园林与艺术学院;
【基金】：徐州社会科学研究课题(16XSM-061) 国家自然科学基金(51408049)
【分类号】：U491.225

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