公交运行数据OD提取算法

公交运行数据OD提取算法是一款基于多源数据融合的智能分析工具，旨在从公交刷卡数据中推算乘客的完整出行过程。由于传统公交刷卡系统仅记录上车信息，无法直接获取下车站点，该算法结合公交GPS数据、线路站点信息及出行链分析方法，精准推测乘客下车站点。算法通过站点权重计算、出行链/环匹配及概率估算等方式，提高OD数据提取的准确性，为交通规划、公交调度优化及乘客出行模式分析提供可靠的数据支撑。

The Public Transit OD Extraction Algorithm is an intelligent analysis tool based on multi-source data fusion, aiming to infer the complete travel process of passengers from public transit boarding swipe data. Since traditional public transit swipe card systems only record boarding information and cannot directly obtain alighting stop information, this algorithm incorporates public transit GPS data, route and stop information, and travel chain analysis methods to accurately infer passengers' alighting stops. By adopting stop weight calculation, travel chain/cycle matching, probability estimation and other approaches, the algorithm improves the accuracy of OD data extraction, providing reliable data support for transportation planning, public transit scheduling optimization and passenger travel pattern analysis.