摘要
基于广义最小二乘法模型,建立了一种高速路动态OD矩阵估计算法,可通过对路段交通量和行程时间的检测来估计时变的OD矩阵。对任意估计时段的OD流,通过假定各车辆间的时头距均匀分布,且可按相同比例拉伸或压缩,得出了模型中关键的分配矩阵的解析算式。算法是一种递推的估计过程,仅需较少的先验信息。针对一个具有19个OD对的高速公路网,大量仿真实验表明,提出的方法对具有较大流量的OD对估计效果较好。
Based on generalized least square (GLS) model,a dynamic origindestination (OD) matrix estimation algorithm for freeways was established.The OD matrix can be estimated through the surveillance of traffic counts and traveling time on links in a freeway network.With the assumption that headtimes between vehicles in arbitrary OD flow for each interval are uniformly distributed and can be stretched or squeezed with the same proportion as they traverse the network,an analytical formula to calculate the key assignment matrix was obtained.The algorithm is a recursive procedure with few apriori data.Through simulation tests for a freeway with 19 OD pairs,it was shown that this method has higher estimation accuracy for OD pairs with great flows.
出处
《长安大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2003年第6期83-86,共4页
Journal of Chang’an University(Natural Science Edition)
基金
国家自然科学基金项目(60175015)
关键词
交通工程
高速公路
动态OD矩阵
广义最小二乘法
算法
traffic engineering
freeway
dynamic origin-destination matrix
GLS algorithm
estimation
