Machine‐Vision System for Multispot Vehicle Detection
Publication: Journal of Transportation Engineering
Volume 116, Issue 3
Abstract
New technology and equipment are constantly sought by traffic engineers for dealing with the problem of urban congestion. Among the most promising concepts available today is the use of video imaging for vehicle detection, automatic surveillance, and extraction of data needed for developing advanced control concepts. In this paper, a recently developed video detection system is presented. The system operates in real time, it can detect traffic simultaneously at multiple points within the field of the camera's view, and it emulates loop detectors, i.e. it produces signals compatible with loops. The system was installed and tested both off‐line and in real time using taped data and field installations, respectively. The results up to this point suggest accuracy levels comparable to loops; higher accuracies than loops in speed measurements are expected. Finally, software is being developed for real‐time extraction of traffic parameters, state variables (i.e., queue lengths and size), and measures of effectiveness (delays, stops, energy consumption, etc.) by the device.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Abramczuk, T. (1984). A TV‐detector for motorway traffic flow. Swedish Royal Inst. of Tech., Stockholm, Sweden.
2.
Hilbert, E. E., et al. (1978). “Wide area detection system—conceptual design study.” JPL Interim Report, FHWA‐RD‐77‐86, Federal Highway Administration, Washington, D.C.
3.
Hilbert, E. E., et al. (1980). “A sensor for control arterial and networks.” IEEE Trans. on Vehicle Tech., VT‐29(2), 208–215.
4.
Inigo, R. M. (1985). “Traffic monitoring and control using machine vision: A survey.” IEEE Trans. on Industrial Electronics, IE‐32(3), 177–185.
5.
Michalopoulos, P. G., Fitch, R., and Geokezas, M. (1986a). “Development of a visible/infrared vehicle detection system: Feasibility study.” Final Report, Dept. of Civ. and Mineral Engrg., University of Minnesota, Minneapolis, Minn.
6.
Michalopoulos, P., Fitch, R., and Wolf, B. (1986b). Development of wide area vehicle detection system (WADS): Image recognition algorithms. Dept. of Civil. Engrg., University of Minnesota, Minneapolis, Minn.
7.
Ooyama, N., and Shigeta, K. (1983). “Area measurement of traffic flow using photoelectric elements.” Proc., 4th IFAC/IFIP/IFORS Conf., Baden‐Baden, Germany, 281–287.
8.
Schlutmeyer, A. P., et al. (1982). “Wide area detection system (WADS).” JPL Publication 83‐15, Final Report, Federal Highway Administration, Washington, D.C.
9.
Shigeta, K., Ooyama, N., and Matsumoto, S. (1981). “A new traffic flow sensor using photoelectric conveting elements‐operating principle and practical experiments.” Tech. Report, Mech. Engrg. Lab., Namiki Sakuramura, Japan, 35(1), 21–48.
10.
Takaba, S. (1984). “Measurement of flow of vehicles and pedestrians using real time processing of moving pictures.” Proc., Int. Symp. on Image Processing and Applications, Inst. of Indust. Science, University of Tokyo, Tokyo, Japan.
11.
Takaba, S., et al. (1982). “Measurement of traffic flow using real‐time processing of moving pictures.” Proc., 32nd IEEE Conf. on Vehicle Tech., San Diego, Calif., 488–494.
12.
Takaba, S., and Koishi, N. (1983). “Real time simulation of road traffic flow.” Summer Computer Conf., Vancouver, Canada, 585–590.
13.
Waterfall, R. C., and Dickinson, K. W. (1984). “Image processing applied to traffic: 2. Practical experience.” Traffic Engrg. and Control, 60–67.
14.
“Wide area detection system (WADS)—applications.” (1985). Interim Report, Sperry Corp., Federal Highway Administration, Washington, D.C.
Information & Authors
Information
Published In
Copyright
Copyright © 1990 ASCE.
History
Published online: May 1, 1990
Published in print: May 1990
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.