Abstract
Dynamic vehicle weighing systems, also known as Weigh-In-Motion (WIM), are sensitive to factors which interfere with the measurement, including weather and climate conditions. This is a result of the sensitivity of the axle load sensors used in the systems. As a result, a significant change in the precision of weighing can be observed over short periods of time (even less than 1 h). This fact is a deterrent to the use of such systems for direct mass enforcement. In this article, we present a solution for this problem using an optimised autocalibration algorithm. We show the results of simulation studies which we conducted on the proposed algorithm. These were then verified experimentally at an in-road site. We demonstrated that autocalibration of the WIM system allows for effective limitation of the sensitivity of weighing results to interfering factors. This is, however, conditioned on a sufficiently high frequency of reference vehicles crossing the WIM site. The required frequency depends on the speed of change in the concentration of influencing factors.
Highlights
The need to control the heaviest vehicles and effectively weigh them arises for many reasons.One heavy vehicle with five axles and a gross vehicle weight in excess of the 40 t limit applicable in Poland does more harm through material fatigue to the road surface than 100,000 passenger cars.Heavy traffic of overloaded vehicles is the main cause of premature degradation of roads and bridges, meaning that the useful lifespan of the road surface may be as little as half as what was planned [1,2,3].In many countries, control efforts are made to eliminate overloaded vehicles from road traffic [4,5,6,7,8].Such efforts are made in Poland
We discovered that the factors which most impact where the vehicle weighing error will be maintained over a long period of time at the level of 2%–3%. the precision of in WIM systems pavement quality are andsubject temperature, Theweighing climate conditions in whichare systems operate to changevehicle both onspeed, a dailywind over theand course the seasons
In this paper we propose an innovative approach to the construction of an autocalibration algorithm by optimisation of algorithm parameters for the specific environmental conditions which prevail at a given WIM site
Summary
The need to control the heaviest vehicles and effectively weigh them arises for many reasons. A symptom of autocalibration is currently widely used in WIM systems, it does not deliver sufficient weighing malfunctioning of implemented autocalibration algorithms is sensitivity of weighing results to precision to satisfy the requirements for enforcement systems. The results of our simulation and and of the usage conditions such prevail a WIMatsystem onWIM vehicle precision which is obtained experimental studies confirm the effectiveness of the solution proposed. The results and conclusions presented in this work allow the the quantitative definition thesignificantly impact of thereduce parameters of the autocalibration development of a solution thatofcan the sensitivity of weighingalgorithm, results tothe slowly uncertainty of reference value, and of the usage conditions of such a WIM system on vehicle changing influencing factors. We present the basic formulations which result from the studies we conducted
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