Semiautomated Tool for Extraction of Microlevel Traffic Data from Videographic Survey

Real-world traffic data collection, extraction, and analysis at a microscopic level is necessary for modeling various traffic and transportation phenomena. In developing countries such as India, where the traffic is characterized by different vehicle types and non-lane-based vehicle movement, an effective tool for vehicle data extraction and analysis is necessary. Development of a fully automated software tool for vehicle trajectory extraction is practically impossible because of the weak lane-based movement of vehicles and occlusion. For addressing these issues, a semiautomated tool, a traffic data extractor, was developed to extract the details of vehicle movements with good accuracy (0.1 s). A videographic survey followed by a camera calibration technique was used to obtain the real-world coordinates from two-dimensional image coordinates. The concept of a vanishing point–based camera calibration technique was used in this tool. The steps involved in handling the developed tool and its applications in microscopic traffic data extraction and analysis are presented.

Language

  • English

Media Info

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Filing Info

  • Accession Number: 01520295
  • Record Type: Publication
  • ISBN: 9780309295314
  • Report/Paper Numbers: 14-4174
  • Files: TRIS, TRB, ATRI
  • Created Date: Jan 27 2014 3:26PM