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- W600733045 abstract "Traffic management studies and systems require accurate and cost-effective sensors for roadway volume, vehicle speed, and vehicle type classification. In this study, the authors compare the performance of video cameras, passive acoustic microphone arrays, active ultrasonic acoustic ranging and Doppler sensors, doppler radar, and passive infrared sensors in these applications. Using data taken on a highway near Boston, the various sensor types are coupled with appropriate signal processing for detection, speed estimation, and feature vector extraction for input to neural-net or rule-based vehicle type classifiers. They are evaluated in terms of measurement performance and sensor cost, communications or recording bandwidth required for the raw sensor data, and the amount of computation needed for signal processing and classification. All of these factors are important to system cost." @default.
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- W600733045 date "1994-01-01" @default.
- W600733045 modified "2023-09-27" @default.
- W600733045 title "A COMPARATIVE STUDY OF TRAFFIC MONITORING SENSORS" @default.
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