Research And Implementation Of Visual Analysis System For Trajectory Data Of Electric Taxis

The trajectory of electric taxis describes the change of spatial location and other attributes of electric taxis with time,contains a large amount of residents’ travel information,and also reflects the charging habits and travel characteristics of electric taxi drivers.This paper studies the trajectory data of Shenzhen electric taxis through the visual analysis method of trajectory data,and develops the visual analysis system of trajectory data of electric taxis,which supports multi-dimensional and comprehensive analysis of the promotion and operation of electric taxis in Shenzhen,so as to put forward suggestions for the healthy development of electric taxi industry.This paper mainly includes the following aspects:1.Charging event extraction and visual analysis.The charging event extraction algorithm is designed according to the charging behavior of electric taxi drivers,and the extracted charging events are statistically analyzed in different dimensions to visually display the charging selection preferences of different drivers and the charging status of the charging station.Through visual analysis of charging events,we can help electric taxi drivers to reasonably plan the charging time and choose the appropriate charging station to reduce the waiting time required for charging.2.Passenger hot spots extraction and visual analysis.Firstly,the pick-up and drop-off points of passengers in different periods are extracted from the trajectory data of electric taxis,and then the pick-up and drop-off points are clustered by the parameter adaptive clustering algorithm(DBSCAN)to generate the pick-up and drop off hot spots.Through the visual analysis of the hot area,it can reduce the unnecessary time for drivers to find customers and effectively help drivers to improve their income.3.Development of visual analysis system for track of electric taxis.Firstly,the trajectory data of electric taxis is cleaned according to specific cleaning rules to improve the quality of analysis data,then the key features are extracted,finally develop a visual analysis system for electric taxis’trajectory data.These features are displayed in the form of multi-chart linkage,which provides strong support for multi-dimensional and comprehensive analysis of the promotion and operation of electric taxis.