System architecture of a decision support system for freeway incident management in Republic of Korea

Traffic Management Centers play a vital role in efficient functioning of freeway network in the post-incident scenario. As per present practice in Korea, the traffic managers use a heuristic approach for incident analysis based on their experience of similar scenarios. However, this approach induces uncertainty thereby reducing the overall effectiveness of the subsequent incident management and rescue operations. This paper proposes a decision support system to account for these shortcomings. The authors name their system Freeway Incident Analysis System (FIAS). The novel idea presented in this paper is the use of historical, real-time and spatial data simultaneously to forecast post-incident traffic flows on a microscopic simulation platform, Cellular Automata. FIAS incorporates two additional rules in the conventional model to depict more realistic incident flow characteristics. This paper focuses on the system architecture of the model and tests its performance by comparing its predicted values with real incident data. The evaluation results confirm the validity of FIAS as it can model the time dependent microstructure of traffic flows with significant accuracy.

• Record URL:
  • http://www.sciencedirect.com/science/article/B6VG7-4S1BT81-1/1/e3bbf7cee161831a47ef2202943c9319
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier
• Authors:
  • Shah, S Akhtar Ali
  • Kim, Hojung
  • Baek, Seungkirl
  • Chang, Hyunho
  • Ahn, Byung Ha
• Publication Date: 2008-6

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 799-810
• Serial:
  • Transportation Research Part A: Policy and Practice
  • Volume: 42
  • Issue Number: 5
  • Publisher: Elsevier
  • ISSN: 0965-8564
  • Serial URL: http://www.sciencedirect.com/science/journal/09658564

Subject/Index Terms

• TRT Terms: Accuracy; Decision support systems; Forecasting; Freeways; Incident management; Mathematical models; Simulation; System architecture; Time dependence; Traffic control centers; Traffic flow
• Uncontrolled Terms: Data
• Geographic Terms: South Korea
• Subject Areas: Highways; Planning and Forecasting; Safety and Human Factors; Terminals and Facilities; I10: Economics and Administration;

Filing Info

• Accession Number: 01103087
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 24 2008 7:44AM