个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:计算机科学与技术学院
办公地点:大连理工大学创新园大厦8-A0824
联系方式:18641168567
电子邮箱:gztan@dlut.edu.cn
Dynamic OD estimation using Automatic Vehicle Location information
点击次数:
论文类型:会议论文
发表时间:2011-08-20
收录刊物:EI、Scopus
卷号:1
页面范围:352-355
摘要:OD (Origin-Destination) matrix describes the number of vehicles from origin zones to destination zones. Dynamic OD is an essential input for traffic guidance and traffic control strategies of intelligent transport system (ITS). As the development of Automatic Vehicle Location (AVL) technologies, advanced devices such as GPS, RFID etc. have been used in locating vehicles and we can obtain real-time information from vehicles equipped with AVL devices. With the information provided by AVL vehicles, we propose a model named OD estimation with automatic vehicle location (O DAVL) to estimate dynamic OD matrix. The ODAVL model uses AVL data and abandons history data which ensures that all data used are real-time and avoids the uncertainty of history data. ODAVL model also considers the link flow error between real flow and the flow we estimated which caused by the deviation of real OD and estimated OD that could improve the precision of OD estimation. Experiments show that our method obtains a good solution of OD estimation. ? 2011 IEEE.