AUTOMATIC TRANSFORMATION OF VIDEO IMAGE DATA FROM UAVs INTO TRAFFIC INFORMATION FOR SIMULATION MODEL CALIBRATION

Real-time traffic information is essential for proper calibration of traffic simulation models to support development of Intelligent TransportationSystem (ITS) strategies. This study proposes the use of unmanned aerial vehicles (UAVs) to collect video traffic data as an alternative to existingmethods. The proposed system employs a rotary-wing UAV that is remarkablein its maneuverability, small size and affordability. Further, the UAVs' on-board vision systems developed in this study apply image processing techniques to derive real-time traffic information from the video data. It further discusses an approach to automatically convert traffic information into statistical profiles for calibrating traffic simulation models. For the covering abstract see ITRD E134653.

• Authors:
  • LIN, P S
  • PURI, A
  • HAGEN, L
• Publication Date: 2006

Language

• English

Media Info

• Pagination: 8p
• Serial:
  • PROCEEDINGS OF THE 13th ITS WORLD CONGRESS, LONDON, 8-12 OCTOBER 2006

Subject/Index Terms

• TRT Terms: Conferences; Data collection; Image processing; Intelligent transportation systems; Mathematical models; Real time data processing; Simulation; Traffic flow; Video cameras
• ITRD Terms: 6750: Camera; 8525: Conference; 8623: Data acquisition; 8633: Image processing; 8735: Intelligent transport system; 6473: Mathematical model; 8679: Real time; 9103: Simulation; 671: Traffic flow
• Subject Areas: Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control;

Filing Info

• Accession Number: 01082045
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Files: ITRD
• Created Date: Nov 29 2007 3:00PM