MULTIPLE-SENSOR WEIGH-IN-MOTION: THEORY AND EXPERIMENTS
David Cebon, C B Winkler
Abstract
David Cebon, C B Winkler
Abstract
A theory is developed for the design of multiple-sensor weigh-in-motion (WIM) systems to minimize the errors caused by the dynamic axle loads of heavy vehicles moving at highway speeds. The theory is verified using measurements from a wheel load measuring mat of total length 38 m, incorporating 96 capacitive strip WIM sensors. The mat was installed on the Navistar test track in Indiana. A total of 460 test runs was performed on six different articulated heavy vehicles, at a range of speeds between 8 and 80 km/hr. The strip sensors were found to be reliable and to measure the dynamic wheel loads with errors of less than 4% RMS. The sensor calibration is independent of speed and temperature. The experimental results were found to agree closely with the theoretical predictions of multiple-sensor WIM performance and it was possible, using a three-sensor array, to measure static axle loads with approximately 6% RMS error, or less, for typical highway conditions of speed and road surface roughness. A good design for multiple-sensor WIM systems is to use three sensors, spaced evenly along the road. The sensors should be spaced according to a simple formula that depends only on the average traffic speed and the number of sensors.
OpenAlex reports 32 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
A theory is developed for the design of multiple-sensor weigh-in-motion (WIM) systems to minimize the errors caused by the dynamic axle loads of heavy vehicles moving at highway speeds. The theory is verified using measurements from a wheel load measuring mat of total length 38 m, incorporating 96 capacitive strip WIM sensors. The mat was installed on the Navistar test track in Indiana. A total of 460 test runs was performed on six different articulated heavy vehicles, at a range of speeds between 8 and 80 km/hr. The strip sensors were found to be reliable and to measure the dynamic wheel loads with errors of less than 4% RMS. The sensor calibration is independent of speed and temperature. The experimental results were found to agree closely with the theoretical predictions of multiple-sensor WIM performance and it was possible, using a three-sensor array, to measure static axle loads with approximately 6% RMS error, or less, for typical highway conditions of speed and road surface roughness. A good design for multiple-sensor WIM systems is to use three sensors, spaced evenly along the road. The sensors should be spaced according to a simple formula that depends only on the average traffic speed and the number of sensors.
Key concepts: Weigh in motion, Axle load, Axle, Range (aeronautics), Measure (data warehouse), Calibration, Capacitive sensing, Track (disk drive)