An Experimental Wireless Accelerometer-Based Sensor System for Applications to WIM and Vehicle Classification

Truck classification and weight data are used by transportation agencies to enforce weight limits, charge fees, and assess pavement damage. In this paper, the authors describe the Sensys Wireless Weigh-in-Motion (SW-WIM), an experimental, accelerometer-based system for vehicle classification and estimation of axle load and pavement displacement. Using this system, speed is measured using magnetometer sensors and pavement vibration measured via four arrays of accelerometer sensors. Sensor measurements are sent wirelessly to a server to estimate axle load and classify vehicles. Four sets of test results are provided on: 1) repeatability of sensor measurements; 2) pavement displacement estimates versus deflection sensor estimates; 3) axle detection; and 4) estimates of axle load by SW-WIM versus those from a Caltrans WIM station on I-80W.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9781848214156
• Corporate Authors:

  John Wiley & Sons, Incorporated

  111 River Street
  Hoboken, NJ  United States  07030-6000
• Authors:
  • Bajwa, R
  • Coleri, E
  • Flores, C
  • Rajagopal, R
  • Kavaler, R
  • Varaiya, P
  • Wild, B
• Conference:
  • 6th International Conference on Weigh-In-Motion (ICWIM 6)
  • Location: Dallas Texas, United States
  • Date: 2012-6-4 to 2012-6-7
• Publication Date: 2012

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 3-12
• Monograph Title: Proceedings of the International Conference on Weigh-In-Motion (ICWIM 6)

Subject/Index Terms

• TRT Terms: Accelerometers; Axle loads; Dislocation (Geology); Pavements; Sensors; Vehicle classification; Weigh in motion; Wireless communication systems
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment; I72: Traffic and Transport Planning; I90: Vehicles;

Filing Info

• Accession Number: 01496894
• Record Type: Publication
• ISBN: 9781848214156
• Files: TRIS
• Created Date: Oct 28 2013 10:07AM