CAJ | 학술논문

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。
성시거민출행OD획취이성위지능교통건설중요기출수거지일。전통적출행조사방식주요의뢰우인공조작적방식，인차재응용상존재교대국한。수착이동통신기술적발전，기우이동정위기술적출행OD획취이성위지능교통영역적연구열점지일。재이동통신망락화정위기술적기출상，알굴정리출행자적역사수궤이동정위수거，대채양수거진행개솔통계，제취불동개솔적정위소구，병결합K-OPSA산법획취최우운동궤적，이건립출행OD구진급획득출행자적출행기지점위치。실험표명해방법가이유효지획취출행자적OD。
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.