Research On Public Transportation Travel Characteristics Analysis Method Based On Big Data And Its Application

Bus trip is the main part of urban public transport service system,and it's trip characteristics are important data base to put the measures into practice,such as planning and design of public transportation system,evaluation and optimization of public transportation network and bus scheduling problem.The traditional bus data need to get through the investigation of large-scale residents travel,not only it will spend a great deal of manpower,material and financial resources,but also the data are weak effectiveness,and the workload of data collated is large,which will cost much,and can not provide data to support for the bus management department timely and accurately.With the development of intelligent public transportation system,it integrates advanced technologies such as modern communication,computer,intelligent control and so on.Bus system scheduling,operation,as well as the bus passenger card information accumulateing a large amount of data.These data not only record the running track of the bus,but also hidden the process of passengers,which provides a good data support to extraction and analysis of the bus trip characteristic data.This paper complete the estimate of get on,transfer and get off the bus,based on the analysis and summary of the current situation of the large data analysis technology of public transport,the bus IC card data,the bus GPS positioning data,the basic data of bus lines and site coordinates data are considered.Combined with the purpose of trip and the characteristics of credit card,the definition of “public transport trip chain” is defined,which to complete the purpose of a trip or by the transfer of multiple creditcard as the same bus trip chain.This paper puts forward and constructs a mass transit trip chain database,on the basis of making clear the construction rules of the trip chain and the structure of the data source,which provides data support for the analysis of the characteristics of the bus trip behavior,and according to the needs of the target to build the analysis of the characteristics of the bus trip based on the large bus data environment;On the basis of large data preparation and mass transit chain,proposes a method based on SQL to analyze the characteristics of bus travel,in this method,the SQL method is used to analyze the data of the bus card,the data of the bus trip,the travel time and the spatial distribution;The application of multidimensional data analysis technology in the analysis of large data of public traffic,the multidimensional data model of transit is established,and a method based on the multidimensional data model of bus is proposed,this method is based on four dimensions of time,space,passenger and travel mode.Using data mining technology,the travel time of bus passengers in different modes is clustered,mining the distribution law,at the same time,the time series mining algorithm is used to forecast the traffic flow of the bus system,and the prediction accuracy is analyzed.In this paper,the rule of data extraction and algorithm flow is constructed in detail,and finish the establishment of the analysis system of bus trip characteristics,adopting the analysis method of visualization,completed the analysis of the target under different trip characteristics.The method realizes the goal of extracting bus trip characteristic data systematically,taking the bus data of 15 days in one city as an example,makes a systematic and comprehensive analysis of the characteristics of public transportation,it shows that the analysis method and system proposed in this paper have good applicability,which can provide the targeted data support for the planning of public transportation system,the scheduling of public traffic vehicles,the level of public transport service and the improvement of service.