Paper
17 February 1997 Acoustic detection of vehicles
Arthur T. Bergan, Bruce Zimmerman, Rod Klashinsky, Robert J. Bushman
Author Affiliations +
Abstract
New technologies are being used to provide solutions to old problems in many areas of our society, including the transportation industry. Congestion on highway systems around the world is a growing concern because of the great expense it causes to the transportation industry through time delays and increased operating costs. The cost of congestion has been estimated to be worth billions of dollars annually and causes a great drain on the economy. The development of monitoring technology will provide the ability to address the congestion problem in new and economical ways. This paper discusses the development and applications of a non-intrusive detection technology using passive acoustic sensors. Applications of this non-intrusive technology include traffic management and surveillance for major metropolitan areas, and traffic data collection based on vehicle count, speed, and classification. The SmartSonicTM passive acoustic detector provides the basic information necessary for a Freeway management system. A summary will be presented of the basic technology and operation of the SmartSonicTM system, and will examine the results of independent testing performed to evaluate the performance of the system. Independent evaluation indicates that the SmartSonicTM system is a good alternative to traditional inductive loop technology in applications such as freeway management, providing easy installation and reliable information.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arthur T. Bergan, Bruce Zimmerman, Rod Klashinsky, and Robert J. Bushman "Acoustic detection of vehicles", Proc. SPIE 2902, Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS, (17 February 1997); https://doi.org/10.1117/12.267144
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KEYWORDS
Sensors

Acoustics

Bridges

Roads

Wind energy

Digital signal processing

Reliability

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