Paper Info
Title
VAIT: A Visual Analytics System for Metropolitan Transportation
Abstract
With the increasing availability of metropolitan transportation data, such as those from vehicle Global Positioning Systems (GPSs) and road-side sensors, it has become viable for authorities, operators, and individuals to analyze the data for better understanding of the transportation system and, possibly, improved utilization and planning of the system. We report our experience in building the Visual Analytics for Intelligent Transportation (VAIT) system, which is the first system on real-life large-scale data sets for intelligent transportation. Our key observation is that metropolitan transportation data are inherently visual as they are spatio-temporal around road networks. Therefore, we visualize and manage traffic data, together with digital maps, and support analytical queries through this interactive visual interface. As a case study, we demonstrate VAIT on real-world taxi GPS and meter data sets from 15 000 taxis running for two months in a Chinese city of over 10 million people. We discuss the technical challenges in data calibration, storage, visualization, and query processing and offer first-hand lessons learned from developing the system. Based on our extensive empirical experiment results, VAIT beats state-of-the-art methods and systems in terms of scalability, efficiency, and effectiveness and offers us an easy-to-use, efficient, and scalable platform to shed more light on intelligent transportation research.
Year
DOI
Venue
2013
10.1109/TITS.2013.2263225
IEEE Transactions on Intelligent Transportation Systems
Keywords
Field
DocType
visual analytics system,vait system,spatio-temporal data,visual analytics for intelligent transportation,cartography,digital maps,metropolitan transportation,gps,road-side sensors,system utilization,global positioning system,vehicle trajectory,system planning,data visualisation,visual analytics,real-world taxi gps,automated highways,traffic data management,traffic data visualization,transportation system,vehicle global positioning systems,interactive visual interface,system design,spatial analysis,data analysis,visualization
Systems design,Visual analytics,GPSS,Artificial intelligence,Computer vision,Data visualization,Advanced Traffic Management System,Visualization,Simulation,Digital mapping,Transport engineering,Engineering,Intelligent transportation system
Journal
Volume
Issue
ISSN
14
4
1524-9050
Citations 
PageRank 
References 
23
0.75
29
Authors
6
Name
Order
Citations
PageRank
Siyuan Liu154437.89
Jiansu Pu2614.28
Qiong Luo33617229.67
Huamin Qu42033115.33
Lionel M. Ni59462802.67
Ramayya Krishnan61389144.36