【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。更多还原

【Abstract】 A detection method for bicycle speed at intersection under mixed traffic flow is proposed based on logistic regression. Firstly,according to the real-time traffic state,the change state of bicycle flow at intersection under mixed traffic flow is calculated to find sensitivity judgment equation between vehicle capacity of right turn motor and bicycle arrive rate,then a micro behavior model of intersection under mixed traffic flow is established to obtain judgment threshold of bicycle speed at intersections. Finally,the bicycle speed detection of intersection is completed. The simulation results show that the method has high detection accuracy. It can guarantee safe and stable operation of vehicles at intersections.更多还原