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Proceedings Paper

Photographic Techniques For The Study Of Traffic Flow
Author(s): Zaven Tashjian; Stanley E. Charles
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Paper Abstract

Numerous current studies of traffic flow are being carried out via aerial photography. Aerial photography has dominated other means of traffic flow data acquisition, primarily because it provides the instantaneous state of all traffic over a very wide metropolitan area. Sequences of aerial photographs taken at predetermined intervals, for instance one-second intervals, provide discrete data from which the continuous traffic flow may be reconstructed. Vehicular trajectories and various traffic flow parameters are determined from this data. This paper describes ,the photographic techniques, data reduction, and computer interface methods which were developed at the Institute of Transportation and Traffic Engineering, University of California, Los Angeles. Photography is carried out with a camera of 70mm format, utilizing a 3 8mm lens. Data reduction employs the 29E Film Reading System, and its associated 282E Telecordex, both manufactured by Computer Industries. Computer pro-grams have been developed and imple-mented, using the IBM 7094 computer. To eliminate the human operator, computer-controlled film-scanning and data reduction are under development. This method reduces data reduction time to 5-10% of the time required by the method above. It employs the Programmable Film Reader (PFR-3), manufactured by Information International, Inc. This paper describes the photogram-metric techniques employed in locating a vehicle in a ground coordinate system. It also describes pattern recognition techniques, whereby the behaviour of each vehicle traversing the area under study can be determined.

Paper Details

Date Published: 9 December 1969
PDF: 10 pages
Proc. SPIE 0018, Pattern Recognition Studies I, (9 December 1969); doi: 10.1117/12.946833
Show Author Affiliations
Zaven Tashjian, University of California (United States)
Stanley E. Charles, University of California (United States)

Published in SPIE Proceedings Vol. 0018:
Pattern Recognition Studies I

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