ITSC 2025 Paper Abstract

Paper TH-LA-T29.1

Han, Jongtaek (Hyundai Motor Company), Ryu, Kunhee (Hyundai Motor Company), Lee, Jihye (Hyundai Motor Company), Bae, Jonghak (Yonsei University), Lim, Jaehyun (Yonsei University), Choi, Jongeun (Yonsei University), Kim, Jinsung (Hyundai Motor Company)

Development of a Driving Guidance System to Improve Racing Performance

Scheduled for presentation during the Regular Session "S29c-Human Factors and Human Machine Interaction in Automated Driving" (TH-LA-T29), Thursday, November 20, 2025, 16:00−16:20, Currumbin

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 18, 2025

Keywords Driver Behavior Monitoring and Feedback Systems for Semi-autonomous Vehicles, Human-Machine Interaction Systems for Enhanced Driver Assistance and Safety

Abstract

This paper presents a driving guide provision system aimed at enhancing race driving skills using control technologies. The proposed system consists of an offline and online racing guide system. The offline guide classifies driving ability into four levels using a neural network trained on collected driving data. It can identify features to improve driving capabilities. These key features are visualized on a race circuit map through a specialized display, aiding drivers in future sessions. The online guide provides real-time driving instructions based on vehicle current states such as heading angle, speed, and position. It is implemented using model predictive control (MPC) that generates the optimal trajectory of race vehicles, including the reference throttle, brake pedal, and steering angles. The resulting guidance is shown on an in-vehicle display. The system has been validated through experiments on a test vehicle on a racing track.