Temporal Tracking of Congested Partitions in Dynamic Urban Road Networks

With urban population rapidly growing, traffic congestion is becoming a major problem. In this paper, a framework is proposed for identifying the spatial congested partitions in a dynamic urban road network and for monitoring the temporal changes in their locations and structure. To that end, a given road network is transformed into a suitable graph representation, an initial partitioning based on a spectral clustering approach is performed, and then the partitions continue to be updated incrementally on the basis of the newly obtained traffic data at each new time point. The congested partitions are then identified on the basis of traffic measures (e.g., volume and green time utilization) available from the traffic signal control system. Experiments with the proposed method are conducted with real historical traffic data collected from the 493 signalized traffic sites in Melbourne, Victoria, Australia, with a total of 1,444 road segments and 581 intersection points. Experimental results show that large-scale urban traffic networks undergo many rapid but regular and frequent traffic patterns, which often go unnoticed by the traffic network operators. Tracking these kinds of changes in real time by means of the proposed framework can improve the reaction time of the traffic management team and result in less congestion.

• Record URL:
  https://doi.org/10.3141/2595-10
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309369893
• Authors:
  • Anwar, Tarique
  • Vu, Hai L
  • Liu, Chengfei
  • Hoogendoorn, Serge P
• Publication Date: 2016

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References;
• Pagination: pp 88–97
• Monograph Title: Information Technology, Geospatial Information, and Advanced Computing
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2595
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Methodology; Network analysis (Planning); Traffic congestion; Traffic data; Urban areas; Visualization
• Identifier Terms: Sydney Coordinated Adaptive Traffic System (SCATS)
• Geographic Terms: Melbourne (Australia)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01590589
• Record Type: Publication
• ISBN: 9780309369893
• Report/Paper Numbers: 16-4978
• Files: TRIS, TRB, ATRI
• Created Date: Feb 18 2016 5:04PM