基于公共交通智能卡数据的可视化分析.

A visual analysis method for existing public transportation data is difficult to analyze the spatial and temporal distribution of passengers, the spatial and temporal distribution of passenger flow, and the inter-regional passenger flow timing changes under different spatial granularities. This paper proposed a multi-view fusion visual analysis system. The system combined smart card data, vehicle GPS data, subway and bus route information of urban public transportation, then used the travel link model the regression model based on travel time and space characteristics ' to complete the origin-destination (OD) inference. Then, this paper designed the hierarchical visualization method of map visualization, and combined the rose map and the dynamic contrast stacking line graph to analyze the passenger flow timing characteristics and correlation between regions. Finally, visual analysis' results of real public transportation data in Shenzhen verify the effectiveness of the system. [ABSTRACT FROM AUTHOR]