Urban Public Transportation Trip OD Matrix Inference And Application Based On Bus IC Card Data And GPS Data

Along with continuously upgrade of Chinese social, economic and living level, rapid urbanization and motorization phenomenon are more and more serious. Moreover, the uninterrupted increase of urban population and traffic demand make urban traffic congestion status more and more severe. Giving great priority to the development of urban public transportation system is the fundamental way and inevitable choice to relieve urban traffic congestion. Public transportation basic data resources are the basic guarantee and key to carry out scientific and effective urban public transportation planning and management decision-making. However, traditional basic data collection method is artificial investigation, which not only takes a lot of manpower, material and financial resources, but also exist several inherent defects such as a low sample survey data, poor data accuracy and no data updated in a timely manner. With the development of modern information technology, a large number of high-tech hardwares such as bus IC card payment system, bus GPS system being used in the public transportation system, but the collected data hasn't been mined and applied deeply. Based on the public transportation IC card and GPS data to conduct urban public transportation OD matrix inference and application, the paper has carried out public transportation basic data mining and application more deeply.Firstly, based on the research and application status of urban public transportation IC card at home and abroad, the literature review has been divided into four parts including urban public transportation IC card application, urban public transportation data warehouse and data mining technology application, research on urban public transportation trip OD matrix inference, urban public transportation operation and planning application based on the data mining information. The urban public transport data collection technology has been divided into traditional manual survey collection technology and urban public transport data collection techonlogy based on modern information technology two parts. Urban public transportation data warehouse and data mining technology and urban public transportation trip OD matrix inference are core and key. Based on public transportation IC card and GPS data sources, data warehouse structure system based on based on bus IC card and data warehouse structure system based on based on bus IC card and GPS data have been set up. And on this basis, the data mining structure system has been built including data warehouse module, data mining tool module, data logic analysis module and user control module four layers. Urban public transportation trip OD matrix inference has been divided into three parts including urban public transportation station OD matrix inference, urban public transportation trip OD matrix generation and urban public transportation trip OD matrix calibration. Among them, public transportation station OD matrix inference is the core content of the chapter, including public transport boarding station inference, public transportation alighting station inference and public transport transfer analysis and public transportation station OD matrix generation. The boarding station inference method is respectively cluster analysis method based on public transportation IC card data and scheduling information, time matching method based on public transportation IC card data and GPS data. And the alighting station inference method is respectively public transportation station attracting weight method, trip chain analysis method based on a single bus passenger.Finally, the public transportation operation and planning decisions have been analyzed based on the mined information. There are three parts such as urban public transportation dynamic characteristics analysis, urban public transportation service quality analysis and urban public transportation trip characterstics analysis.