A Study of Vehicle Trajectory Estimation Using Microscopic Traffic Data for Understanding Cause of Accidents

本研究的目的是开发一种方法来估计的空间和时间的变化，交通状态使用现有的交通数据获得的传统检测器，从而掌握交通状况的事故发生前后。 已开展了以下专题。1)提出了一种匹配沿着城际高速公路不同路段交通检测器采集的同一车辆脉冲数据的方法。2)本研究亦发展出一种回馈式的交通状况估测方法，此方法由延伸卡尔曼滤波器与宏观交通模拟所组成。

This study is aimed at developing a methodology to estimate the spatial and temporal change in traffic state using the existing traffic data obtained by conventional detectors, so as to grasp traffic condition before and after occurrence in accident. The following subjects have been conducted. 1) We develop a methodology to match vehicular pulse data of the same vehicle obtained by traffic detectors located at different sections along intercity expressway. 2) This study also develops a feed-back type estimation method of traffic condition, which is composed of extended Kalman filter and macroscopic traffic simulation.