作者
Mei Chen, Xiaobo Liu, Jingxin Xia, Steven I Chien
发表日期
2004/9
期刊
Computer‐Aided Civil and Infrastructure Engineering
卷号
19
期号
5
页码范围
364-376
出版商
Blackwell Publishing, Inc.
简介
Automatic passenger counter (APC) systems have been implemented in various public transit systems to obtain bus occupancy along with other information such as location, travel time, etc. Such information has great potential as input data for a variety of applications including performance evaluation, operations management, and service planning. In this study, a dynamic model for predicting bus‐arrival times is developed using data collected by a real‐world APC system. The model consists of two major elements: the first one is an artificial neural network model for predicting bus travel time between time points for a trip occurring at given time‐of‐day, day‐of‐week, and weather condition; the second one is a Kalman filter‐based dynamic algorithm to adjust the arrival‐time prediction using up‐to‐the‐minute bus location information. Test runs show that this model is quite powerful in modeling variations in bus …
引用总数
学术搜索中的文章
M Chen, X Liu, J Xia, SI Chien - Computer‐Aided Civil and Infrastructure Engineering, 2004