论文部分内容阅读
为了确定不同交通状态下绿灯间隔时间,最大限度地提高交叉口通行能力,提出了使用交通量替代来车速度输入运动学方程的计算方法,根据道路交通流所处状态的不同,分别采用格林希尔茨模型、格林伯格模型和安德伍德模型分析绿灯间隔时间与交通之间的关系,从而建立不同交通状态下,不同交通量的绿灯间隔时间计算方法;并结合西安市小寨路—长安路交叉口早高峰数据,对在原算法及改进后算法计算的信号配时条件下的运行状况进行VISSIM仿真。研究结果表明:改进后条件下通过交叉口的车辆数、平均速度有显著提高,阻塞百分比显著降低;该优化算法能够优化绿灯间隔时间,提高交叉口通行能力。
In order to determine the green light interval time under different traffic conditions and maximize the traffic capacity at intersections, a method of calculating the input kinematics equation using traffic volume instead of vehicle speed is put forward. According to the different state of road traffic flow, Erlitz model, Greenberg model and Underwood model to analyze the relationship between the green light interval and the traffic, so as to establish the calculation method of green light interval time under different traffic conditions and different traffic volume; Road intersection early peak data, VISSIM simulation of the operating conditions under the signal timing conditions calculated by the original algorithm and the improved algorithm. The results show that the average number of vehicles crossing the intersection under the improved conditions increases significantly, and the percentage of blocking decreases significantly. The optimization algorithm can optimize the green light interval and improve the traffic capacity at intersections.