As the smart transportation system continues to evolve, the precise and stable operation of traffic measurement equipment directly determines the overall effectiveness of traffic data monitoring and system management. Traditional field tests are limited by specific operational scenarios, narrow coverage of driving conditions, high equipment wear and maintenance costs, and fail to meet the rigorous performance verification requirements under complex environments. This study integrates theories from mechanics, thermodynamics, and electromagnetism to establish a virtual simulation framework for traffic measurement equipment, enabling accurate replication of real-world operating conditions, conducting performance simulations, and facilitating continuous model refinement. This approach overcomes the limitations inherent in single-physical-field simulations. The outcomes provide robust digital support for equipment performance testing, structural optimization, and condition-specific calibration, thereby advancing the development and modernization of measurement systems in smart transportation applications.