Title
Spatial-temporal traffic data analysis based on global data management using MAS
Abstract
The spatial-temporal traffic data analysis based on global data management is a newly developed and crucial approach to help traffic managers having the global view of urban traffic status in the level of road network, which is very clearly useful in traffic control and route guidance. The multiagent systems are used in traffic data management with full consideration of the characteristics of traffic data and the cooperation and workflow among them. In software implementation of data management, the agent-based common object request broker architecture is adopted taking the distributed urban traffic data in the large area under network environments into account. Based on the global traffic data, the approach of visualized spatial-temporal analysis is then induced. The similarity of traffic data is analyzed first for each link and its profile is achieved to undertake the primary processing of urban traffic data. Furthermore, analysis results are shown on the basis of the geographic information systems for transportation. The two types of visualization, pseudocolor and contour maps, are adopted in the demonstration to display the traffic status graphically and its changing frames. Among the applications in some big cities in China, the case of urban traffic analysis for Beijing is studied to demonstrate the implementation of the approach.
Year
DOI
Venue
2004
10.1109/TITS.2004.837816
IEEE Transactions on Intelligent Transportation Systems
Keywords
Field
DocType
urban traffic status,urban traffic analysis,traffic data management,traffic control,global data management,traffic status graphically,traffic data,traffic manager,spatial-temporal traffic data analysis,global traffic data,urban traffic data,traffic management,temporal data,data analysis,geographic information system,multiagent systems,data management,multi agent systems,common object request broker architecture,spatial,mass,visualization
Data mining,Geographic information system,Traffic generation model,Traffic analysis,Advanced Traffic Management System,Simulation,Floating car data,InSync adaptive traffic control system,Engineering,Data management,Spatial database
Journal
Volume
Issue
ISSN
5
4
1524-9050
Citations 
PageRank 
References 
25
1.94
8
Authors
4
Name
Order
Citations
PageRank
Hesheng Zhang1388.02
Zhang Yi226143.00
Li Zhiheng37713.27
Dongcheng Hu48610.74