VABD: Visual Analysis of Spatio-temporal Trajectory Based on Urban Bus Data

Abstract

Spatio-temporal trajectory data cover a wide area, have high real-time performance, which can not only reflect the timing change of road traffic but also reflect the travel rules of residents. However, due to the lack of effective methods, it is difficult for analysts to conduct in-depth analysis and extract valuable information. To help users to understand the situation of urban traffic congestion, explore the social behavior pattern, this paper proposed and implemented a novel interactive visual analysis system, Visual Analyzer for Bus Data (VABD). Visual analysis of spatio-temporal trajectory data is introduced into “intelligent transportation” to provide new ideas and data support for solving urban congestion problems. A case study based on urban bus data of Mianyang proves the effectiveness of the system.