Optimised Autocalibration Algorithm of Weigh-In-Motion Systems for Direct Mass Enforcement

Area of Science:

• Engineering
• Metrology

Background:

• Dynamic vehicle weighing systems, Weigh-In-Motion (WIM), are susceptible to environmental factors like weather.
• Sensor sensitivity leads to significant precision loss in WIM measurements over short durations.
• This variability hinders the use of WIM for direct mass enforcement.

Purpose of the Study:

• To address the environmental sensitivity of WIM systems.
• To present an optimized autocalibration algorithm for WIM systems.
• To validate the algorithm's effectiveness through simulations and experimental testing.

Main Methods:

• Development of an optimized autocalibration algorithm for WIM systems.
• Conducting simulation studies to evaluate the algorithm's performance.
• Experimental verification of the algorithm at an in-road WIM site.

Main Results:

• The autocalibration algorithm effectively limits the sensitivity of WIM results to interfering environmental factors.
• Simulation studies confirmed the algorithm's efficacy.
• Experimental results validated the significant improvement in WIM system precision.

Conclusions:

• Autocalibration is a viable solution to enhance the reliability of WIM systems.
• Sufficiently high frequency of reference vehicles is crucial for effective autocalibration.
• The required reference vehicle frequency is dependent on the rate of environmental factor change.