Multi-purpose fibre optic system for automated vehicle's weighting-in-motion and classification in applications of intelligent transport systems

摘要

The problem of measuring vehicle's weight-in-motion (WIM) and their classification is one of the research topics in field of transport telematics. It is important not only for development of intelligent systems used for planning and cargo fleet managing, but also for control of the legal use of transport infrastructure, for road surface protection from early destruction and for safety support on roads. Moving vehicle's dynamics model and the impacts of external conditions (speed, temperature, tyre width etc.) as well as the longitudinal and transverse oscillations as the main source of measurement errors are in the focus of this research. The shapes of tyre footprint form, pressure and weight distribution along the footprint length are being estimated and discussed in order to extract and compensate the longitudinal and transverse oscillations of tractor's, trailer's, each axle's and wheel's “gravity centre” with the aim to decrease the estimation errors to the level of less than 2–3% of each axle's static (correct) weight.