Visualization Of Passenger Travel Behavior Using Subway Data

As the development of intelligent transportation systems,it is feasible and easy to collect large amount of traffic data.Resulting in a large number of data contains passenger mobility.Traffic data-driven analysis can help urban decision-making to further enhance life quality of the local residents.Subway data contains plenty of urban life information,from the trip mode to the discovery of abnormal events.Subway data has multiple complex attributes,such as temporal attributes,spatial attributes,and other attributes associated with each swiping card data.In this paper,we propose a visual analysis system,through interactive exploration of subway data,analysis of urban residents trip patterns and subway passenger flow patterns.Subway lines are complex.There are too many stations.We design a visualization solution displaying subway station and line information,checking the subway operation view and passenger flow volume patterns on different lines intuitively.Subway data is so large.Doing a specific query on such a large-scale data is not easy,such as comparing the different of passenger flow volume of different stations over time.We have built a spatial-temporal exploration module for this.Users explore the subway swiping data interactively by executing the choice of spatial and temporal.Display the query results to users through visualization views.Then analysis of passenger patterns and find special events.The passenger swiping card data contains a wealth of subway-related information,not only contains records each passengers' each trip taking the subway behavior,but also reflecting area function around the subway station.In order to discover these trip patterns,this paper extracts passenger pattern of each station in the station clustering module,using the data mining algorithm to do the detailed design,and returns the result in the form of visualization,and then analyzes the human mobility and the functional characteristics of the station.Finally,we use real passenger swiping data of Shanghai subway system,subway station and line information data and train running data those three data sets.Use the method mentioned above completing the development and implementation of the system.At last,we do some detailed analysis using this visualization system.