Traffic data collection studies and management systems require accurate and cost-effective sensors for roadway volume vehicle speed, and vehicle type classification. Inexpensive and non-intrusive sensing using video cameras, passive acoustic microphase arrays, active ultrasonic acoustic ranging and Doppler sensors, Doppler radar, and passive infrared sensors are compared. Using data taken on a highway near Boston (USA), the various sensor types are coupled with appropriate signal processing for counting, speed estimation, and vehicle type classification. Emphasis is placed on understanding the fundamental limitations of each sensor type. An interactive system for ground-truth database construction and comparison with the detected outputs and intermediate signal prosessor products is described.
Comparative study of non-intrusive traffic monitoring sensors
Vergleich von sechs akustischen und optischen Meßwerterfassungsverfahren im Straßenverkehr
1995
14 Seiten, 11 Bilder, 2 Tabellen, 1 Quelle
Conference paper
English
A Comparative Study of Non-Intrusive Traffic Monitoring Sensors
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