TY - GEN
T1 - Incident detection through video image processing
AU - Michalopoulos, Panos G.
PY - 1991/1/1
Y1 - 1991/1/1
N2 - A machine vision system for vehicle detection and traffic parameter extraction (called AUTOSCOPE) was recently developed at the University of Minnesota. Its advantages lie in its multispot wide area wireless detection capabilities and the ability to extract traffic parameters, such as density and queue length and size, that cannot easily be obtained with conventional devices. The system was extensively tested at the laboratory and later installed at several freeway and intersection locations and compared with loop detectors on a continuous 24-hour basis over a period of eighteen months since the writing of this paper. Following the necessary adjustments, its performance and reliability was demonstrated to be equal to or exceeding that of conventional devices. As a result, the device is currently being implemented at a 3.5 mile freeway section of the I-394 freeway in Minneapolis, Minnesota for automatic incident detection. To further exploit this opportunity a total of 38 cameras were installed in this section for detailed and continuous lane by lane traffic parameter extraction on the freeway and its ramps. The use of the AUTOSCOPE system for automatic incident detection is briefly presented.
AB - A machine vision system for vehicle detection and traffic parameter extraction (called AUTOSCOPE) was recently developed at the University of Minnesota. Its advantages lie in its multispot wide area wireless detection capabilities and the ability to extract traffic parameters, such as density and queue length and size, that cannot easily be obtained with conventional devices. The system was extensively tested at the laboratory and later installed at several freeway and intersection locations and compared with loop detectors on a continuous 24-hour basis over a period of eighteen months since the writing of this paper. Following the necessary adjustments, its performance and reliability was demonstrated to be equal to or exceeding that of conventional devices. As a result, the device is currently being implemented at a 3.5 mile freeway section of the I-394 freeway in Minneapolis, Minnesota for automatic incident detection. To further exploit this opportunity a total of 38 cameras were installed in this section for detailed and continuous lane by lane traffic parameter extraction on the freeway and its ramps. The use of the AUTOSCOPE system for automatic incident detection is briefly presented.
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M3 - Conference contribution
AN - SCOPUS:0025722803
SN - 0872628183
T3 - Proc 2 Int Conf Appl Adv Technol Transp Eng
SP - 101
EP - 105
BT - Proc 2 Int Conf Appl Adv Technol Transp Eng
A2 - Stephanedes, Yorgos J.
A2 - Sinha, Kumares C.
PB - Publ by ASCE
T2 - Proceedings of the 2nd International Conference on Applications of Advanced Technologies in Transportation Engineering
Y2 - 18 August 1991 through 21 August 1991
ER -