COMPUTING EQUIVALENT SINGLE AXLE LOADS (ESALS) FROM WEIGH-IN-MOTION DATA. FINAL REPORT
Sedat Gulen, K J Kercher, G D Hooker
Abstract
Sedat Gulen, K J Kercher, G D Hooker
Abstract
This report describes a method of calibrating portable, high speed weigh-in-motion (WIM) equipment to more accurately calculate the equivalence factors for axle load damage. The inaccuracies of weigh-in-motion data bias the ESAL computation of a stream of trucks to always be higher than the true ESAL value. This is because front axles are typically weighed light and back axles heavy, with WIM equipment. The calibration method described herein assigns an average steering axle weight to every truck and attempts only to weigh the drive and trailer axles dynamically. ESAL computations are compared using this method, for static weights and for all the dynamic weights of 4 data sets. In all cases this new method produces a more accurate ESAL computation.
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This report describes a method of calibrating portable, high speed weigh-in-motion (WIM) equipment to more accurately calculate the equivalence factors for axle load damage. The inaccuracies of weigh-in-motion data bias the ESAL computation of a stream of trucks to always be higher than the true ESAL value. This is because front axles are typically weighed light and back axles heavy, with WIM equipment. The calibration method described herein assigns an average steering axle weight to every truck and attempts only to weigh the drive and trailer axles dynamically. ESAL computations are compared using this method, for static weights and for all the dynamic weights of 4 data sets. In all cases this new method produces a more accurate ESAL computation.
Key concepts: Weigh in motion, Axle, Computation, Truck, Trailer, Axle load, Computer science, Automotive engineering