摘要
城市居民出行OD获取已成为智能交通建设重要基础数据之一。传统的出行调查方式主要依赖于人工操作的方式,因此在应用上存在较大局限。随着移动通信技术的发展,基于移动定位技术的出行OD获取已成为智能交通领域的研究热点之一。在移动通信网络和定位技术的基础上,挖掘整理出行者的历史手机移动定位数据,对采样数据进行概率统计,提取不同概率的定位小区,并结合K-OPSA算法获取最优运动轨迹,以建立出行OD矩阵及获得出行者的出行起止点位置。实验表明该方法可以有效地获取出行者的OD。
It has become one of the important basic data for intelligent transportation construction about how to get urban residents' travel OD.The traditional way of travel survey relies on manual operation mode,so there is a substantial limitation on the application.With the development of mobile communi-cation technology,the obtainment of travel OD based on mobile positioning technology has become one of the hottest fields of intelligent transportation.On the basis of the mobile communication network and po-sitioning technology,travelers' historical mobile phone positioning data can be mined and finished.By probability and statistics for the sampling data,the locating cell with different probability can be extrac-ted .It can be established travel OD matrix by the combination of K-OPSA algorithm to obtain the optimal trajectory and get travelers'trip starting and ending point.The experimental results show that this method can effectively get travelers' OD.
出处
《昆明冶金高等专科学校学报》
CAS
2014年第5期19-23,共5页
Journal of Kunming Metallurgy College
基金
国家自然科学基金:基于手机定位数据的城市居民出行模式识别(41061043)
云南省自然科学基金:基于移动定位数据的城市道路交通状态探测(2011FZ200)
云南省教育厅基金:基于手机定位的城市道路车辆信息提取(2010C194)
关键词
出行OD
移动定位
概率统计
定位小区
travel OD
mobile positioning
probability statistics
locating area