Research And Implementation Of Urban Public Transportation Data Visualization

With the rapid development of information technology,public transit has entered the information age.Faced with a large amount of data related to public transit,it is difficult for people to quickly obtain valuable information.The visualization technology visually displays the complex data to the user through graphical images,and provides a rich interactive way for the user to deeply analyze the hidden information in the data.In order to help people make travel decisions,many research scholars have devoted themselves to the visualization of public transit data,but there is still a lack of a visual system for comprehensive display of public transit data to help passengers travel.This thesis studies the public transit data visualization technology from the perspective of passengers.The main work is as follows:1.The data acquisition technology is investigated.Python's standard library urllib and BeautifulSoup are used to collect static page data in real time,the threading multi-threaded module is called to improve data collection efficiency,and Selenium automation tool is employed to achieve dynamic page data collection.2.The ThemeRiver visualization method is studied,and a ThemeRiver hierarchical rearrangement method is proposed to display the subway passenger flow data.This method first calculates the value of the wave angle,then calculates the range coefficient of each river,and sorts the river according to the range factor.Hereafter,according to the fluctuation angle,the re-sorted ThemeRiver fluctuation value is calculated in turn,and the ThemeRiver is divided into a stable river layer and a fluctuating river layer by a preset smooth fluctuation value,and then stacked,thereby realizing the ThemeRiver hierarchical rearrangement.The experimental results show that the method can relocate the river with large fluctuations to the upper layer by reordering,which can effectively reduce the influence of the fluctuation of the lower river on the upper river.3.Aiming at the shortcomings of the existing Parallel Coordinates and Parallel Coordinates binding methods,a Parallel Coordinates edge binding method is proposed to display public transit travel data.This method first classifies the samples in the dataset and calculates the mean of each sample category in the dataset under different attribute dimensions.Then it sets the position of the virtual binding axis and parallel control points,and pairs the data points of each sample category with the control points.Finally,it connects pairs of data points and control points,thereby completing the Parallel Coordinates edge binding visualization.The experimental results show that the proposed method can effectively solve the curve overlap problem in the edge binding method while reducing the visual clutter.4.A public transit data visualization system is designed and implemented.The visualization system is designed with five functional modules according to the characteristics of public transit data: information input module,line information visualization module,passenger flow data visualization module,public transit travel data visualization module,and travel data comparison visualization module.The overall system designs corresponding interaction modes for the functional characteristics of each module,and completes the linkage display between modules.Each module displays different public transit data through linkage interaction,which provides reference for users' travel decisions.