Vision of Unmanned Aerial Vehicle (UAV) Based Traffic Management for Incidents and Emergencies

Tremendous traffic congestion is caused by major incidents and emergencies. Current methods for traffic monitoring and data collection are often expensive, location specific, and time consuming to install. ITS technologies have not fully been utilized to alleviate traffic congestion caused by major incidents and emergencies. This paper explores two of the most incoming cutting-edge technologies to effectively enhance traffic management in response to major incidents and emergencies. One is to use Unmanned Aerial Vehicle (UAV) technology to provide real-time traffic monitoring and data collection. The other one is to utilize Dynamic Traffic Assignment (DTA) based traffic simulation as a tool to develop optimal ITS strategies based on its quick short-term forecast capability with real-time traffic information. This paper provides a vision on how to combine these two technologies associated with ITS technologies to effectively manage traffic congestion caused by major incidents and emergencies.

• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Lin, Pei-Sung
  • Hagen, Larry
  • Valavanis, Kimon
  • Zhou, Huaguo
• Conference:
  • 12th World Congress on Intelligent Transport Systems
  • Location: San Francisco California, United States
  • Date: 2005-11-6 to 2005-11-10
• Publication Date: 2005

Language

• English

Media Info

• Media Type: Print
• Features: CD-ROM; Figures; References; Tables;
• Pagination: 12p
• Monograph Title: Proceedings of the 12th World Congress on Intelligent Transport Systems

Subject/Index Terms

• TRT Terms: Data collection; Dynamic traffic assignment; Emergency management; Emergency response time; Forecasting; Incident detection; Incident management; Information systems; Intelligent transportation systems; Technological innovations; Traffic congestion
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01015857
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 31 2006 9:56AM