NDLI: In-pavement wireless sensor network for vehicle classification

Content Provider	IEEE Xplore Digital Library
Author	Bajwa, R. Rajagopal, R. Varaiya, P. Kavaler, R.
Copyright Year	2011
Description	Author affiliation: Sensys Networks, Inc, 2560 Ninth Street, Suite 219, Berkeley CA 94710 (Bajwa, R.; Rajagopal, R.; Varaiya, P.; Kavaler, R.)
Abstract	Vehicle classification data, especially for trucks, is of considerable use to agencies involved in almost all aspects of transportation and pavement engineering. Current technologies for classification involve expensive installation and calibration procedures. A wireless sensor network (WSN) for vehicle classification based on axle count and spacing was designed, calibrated, tested, and deployed near a weigh station in Sunol, California. The WSN includes: vibration sensors which report pavement acceleration; vehicle detection sensors which report vehicle's time of arrival and departure; and an Access Point (AP) that logs the data collected from all these sensors. Both sensors are packaged for durability, occupy minimal space, have long lifetimes, and are embedded inside the pavement. The vibration sensors are capable of over-the-air software programming and are designed to be immune to sound. Vibration and classification ground truth data for 53 different trucks exiting the weigh station were collected. The vibration data collected at 512 Hz had an accuracy of 400 μg. A novel algorithm for estimating axle count and spacing has been developed. The combination of bandwidth-aware smoothing filter and peak detector that we use in this algorithm could be useful in many other applications. The algorithm successfully classified all 53 trucks.
Starting Page	85
Ending Page	96
File Size	1985398
Page Count	12
File Format	PDF
ISBN	9781612848549
e-ISBN	9781450305129
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Association for Computing Machinery, Inc. (ACM)
Subject Keyword	Vibrations Accelerometers Wireless sensor networks Sensor Networks Energy Detector Axle Detection Sensors Traffic Monitoring Synchronization Vehicles Axles Vehicle Classification
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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