Java Swing
IEEE Computer Graphics and Applications
Robust and fast similarity search for moving object trajectories
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Exploratory spatio-temporal data mining and visualization
Journal of Visual Languages and Computing
Indexing Spatio-Temporal Trajectories with Efficient Polynomial Approximations
IEEE Transactions on Knowledge and Data Engineering
Visual analytics tools for analysis of movement data
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
A conceptual view on trajectories
Data & Knowledge Engineering
Dynamic modeling of trajectory patterns using data mining and reverse engineering
ER '07 Tutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 83
A privacy-aware trajectory tracking query engine
ACM SIGKDD Explorations Newsletter
Similarity-based prediction of travel times for vehicles traveling on known routes
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Efficient search of moving objects on a planar graph
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
HERO: Online Real-Time Vehicle Tracking
IEEE Transactions on Parallel and Distributed Systems
What Is Spatio-Temporal Data Warehousing?
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Building real-world trajectory warehouses
Proceedings of the Seventh ACM International Workshop on Data Engineering for Wireless and Mobile Access
Map-matching for low-sampling-rate GPS trajectories
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Demonstration of the TrajStore system
Proceedings of the VLDB Endowment
A 3D Geosciences Modeling System for Large-Scale Water-Diversion Projects
IEEE Design & Test
Towards mobility-based clustering
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
| Hi-index | 0.00 |
With the increasing availability of metropolitan transportation data, such as those from vehicle GPSs (Global Positioning Systems) and road-side sensors, it becomes viable for authorities, operators, as well as individuals to analyze the data for a better understanding of the transportation system and possibly improved utilization and planning of the system. We report our experience in building the VAST (Visual Analytics for Smart Transportation) system. Our key observation is that metropolitan transportation data are inherently visual as they are spatio-temporal around road networks. Therefore, we visualize traffic data together with digital maps and support analytical queries through this interactive visual interface. As a case study, we demonstrate VAST on real-world taxi GPS and meter data sets from 15, 000 taxis running two months in a Chinese city of over 10 million population. We discuss the technical challenges in data cleaning, storage, visualization, and query processing, and offer our first-hand lessons learned from developing the system.