Vision of Unmanned Aerial Vehicle (UAV) Based Traffic Management for Incidents and Emergencies
Document Type
Conference Proceeding
Publication Date
11-2005
Abstract
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.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
12th World Congress on ITS, Compendium of Technical Papers, San Francisco, November 2005.
Scholar Commons Citation
Lin, Pei-Sung; Hagen, Larry; Valavanis, Kimon; and Zhou, Huaguo, "Vision of Unmanned Aerial Vehicle (UAV) Based Traffic Management for Incidents and Emergencies" (2005). CUTR Faculty Journal Publications. 57.
https://digitalcommons.usf.edu/cutr_facpub/57
