The invention discloses an urban resident dynamic OD matrix extraction method based on mobile phone signaling data, and relates to the technical field of intelligent traffic systems. The method comprises the steps of data preprocessing, resident point identification and dynamic OD matrix construction. According to the method, the resident point information in the resident travel trajectory is extracted from massive CDR data, then the OD information is matched with the road network key nodes to deduce the dynamic OD matrix, and compared with a traditional OD matrix acquisition method, the method has remarkable advantages, so that research on the dynamic OD matrix acquisition method based on the mobile phone positioning data has important significance on traffic planning and management, and the method is suitable for popularization and application. According to the method, the travel characteristic differences, including public transportation, private cars, shared bicycles and the like, among different vehicles are discussed in the future, the travel preferences of urban residents and influence factors thereof are further revealed, the travel demands of the residents are more comprehensively considered when a traffic planning department makes a strategy, traffic resource allocation is optimized, and the traffic planning department is promoted to make a strategy. And the urban traffic efficiency is improved.
本发明公开基于手机信令数据的城市居民动态OD矩阵提取方法,涉及智能交通系统技术领域;本发明包括数据预处理,驻留点识别以及动态OD矩阵构建;本发明中,从海量的CDR数据中提取居民出行轨迹中的驻留点信息,然后把OD信息与路网关键节点匹配推导出动态OD矩阵,与传统的OD矩阵获取方法相比优势显著,因此,研究基于手机定位数据的动态OD矩阵获取方法对于交通规划与管理具有重要意义,本发明将在未来探讨不同交通工具之间的出行特征差异,包括公共交通、私家车、共享单车等,进一步揭示城市居民出行偏好及其影响因素,有助于交通规划部门在制定策略时更加全面地考虑居民出行需求,优化交通资源配置,提高城市交通效率。
Urban resident dynamic OD matrix extraction method based on mobile phone signaling data
基于手机信令数据的城市居民动态OD矩阵提取方法
2023-08-29
Patent
Elektronische Ressource
Chinesisch
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