摘要
宏观交通流参数特性是交通流理论中重要研究内容,而快速路做为城市骨干路网,交通流特征参数对于快速路的控制与管理具有重要价值.基于固定检测线圈检测到的交通流数据,对数据进行错误剔除与修复,并集聚提取了快速路流量、速度与占有率值,同时通过实测数据统计分析车辆平均长度,实现占有率与密度之间的转换,进一步采用标准遗传算法与最小二乘法对van Aerde模型进行了对比标定,辨识了快速路交通流特征变量,为城市快速路的精细化管理提供支持.
The macroscopic traffic flow parameters characteristic is an important research content in traffic flow theory. As the backbone road network, traffic flow characteristic parameters have great value for the control and management of urban expressway. Based on the fixed detection data, the error data is removed and repair, traffic volume, speed and occupy was analyzed. The average length of the vehicle was extracted using the basic parameters of the traffic to finish the transform between occupy and density. The standard genetic algorithm and the least squares method were used to calibrate the Van Aerde model. Then the characteristic variables of the expressway traffic flow were identified which support meticulous management for urban expressway.
出处
《武汉理工大学学报（交通科学与工程版）》
2013年第6期1251-1254,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
关键词
交通工程
城市快速路
特征参数
遗传算法
参数辨识
KEYWORDS：urban expressway
characteristic parameter
genetic algorithm
parameter identify
