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.
Semiautomated Tool for Extraction of Microlevel Traffic Data from Videographic Survey
Transportation Research Record
Transportation Research Record: Journal of the Transportation Research Board ; 2443 , 1 ; 88-95
2014-01-01
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
A microlevel method for road traffic noise prediction
British Library Conference Proceedings | 2002
|Semiautomated Management Of Arriving Air Traffic
NTRS | 1992
|Videographic recorder improves monitoring and data collection at Albany's Loudonville Reservoir
British Library Online Contents | 1996
SPECIAL FEATURES - Advances in safety technology - New videographic aid from Scana
Online Contents | 1999
Analysis of Traffic Flow With Mixed Manual and Semiautomated Vehicles
Online Contents | 2003
|