Yordanov, Ventseslav (RWTH Aachen University), Schäfer, Simon (RWTH Aachen University), Mann, Alexander (RWTH Aachen University), Kowalewski, Stefan (Aachen University), Alrifaee, Bassam (University of the Bundeswehr Munich), Eckstein, Lutz (RWTH Aachen University)

Integrated Wheel Sensor Communication Using ESP32 – a Contribution towards a Digital Twin of the Road System

Scheduled for presentation during the Regular Session "S03b-Connected Vehicle Technologies and Intelligent Infrastructure Systems" (WE-EA-T3), Wednesday, November 19, 2025, 14:10−14:30, Southport 3

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 19, 2025

Abstract

While current onboard state estimation methods are adequate for most driving and safety-related applications, they do not provide insights into the interaction between tires and road surfaces. This paper explores a novel communication concept for efficiently transmitting integrated wheel sensor data from an ESP32 microcontroller. Our proposed approach utilizes a publish-subscribe system, surpassing comparable solutions in the literature regarding data transmission volume. We tested this approach on a drum tire test rig with our prototype sensors system utilizing a diverse selection of sample frequencies between 1Hz and 32000Hz to demonstrate the efficacy of our communication concept. The implemented prototype sensor showcases minimal data loss, approximately 0.1% of the sampled data, validating the reliability of our developed communication system. This work contributes to advancing real-time data acquisition, providing insights into optimizing integrated wheel sensor communication