基于多源数据的OD分析模型和系统实现研究

OD Information Analysis Model and System Realization Based on Multi-source Data

为进一步提高公交企业管理水平,促进传统公交运营管理向数据驱动的主动管理模式转化,对乘客OD(交通起止点)信息的获取进行了研究。在分析现阶段行业内主要的OD信息获取方式及存在问题的基础上,提出以城市公交IC卡数据、公交车辆GPS数据和公交站点GIS数据为主要研究对象,利用多源数据融合技术,运用优化后OD推导算法进行计算,得到乘客OD信息,并通过实例分析验证算法的有效性和适用性。此外,设计了基于多源数据的OD信息管理系统,实现对公交大数据的处理及可视化展示,起到支撑公交系统焦点问题量化分析的作用,使公交运营管理工作有的放矢。

In order to improve the management level of public transport enterprises,promote traditional public transport management mode to active management mode which is data driven.The acquisition of passengers’od information is studied in this paper.By analyzing the main od information acquisition methods and existing problems at present,an optimized OD derivation algorithm is proposed which combining with the data characteristics of bus IC cards,GPS data and GIS data by using multi-source data fusion technology,passengers’OD information are obtained.Bases on the big data of Ningbo public transportation,the efficiency and applicability of the algorithm are verified.In addition,an OD information management system is designed based on multi-source data to realize the processing and visual display of bus big data,which will play a key functional role in the quantitative analysis of public transportation.