University of Twente Student Theses


Predictive Haptic Driver Support Near Vehicle's Handling Limits

Dokurno, K. (2023) Predictive Haptic Driver Support Near Vehicle's Handling Limits.

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Embargo date:14 July 2025
Abstract:This research presents a novel driver assistance system designed to enhance safety when the vehicle undergoes critical handling maneuvers. By increasing the driver’s situational awareness and providing guidance for a safe steering input, the proposed system aims to reduce the risk of an unwanted road departure caused by vehicle understeer. The proposed driver support system relies on a control framework combining Model Predictive Control (MPC) and Haptic Shared Control (HSC). MPC is used to predict the future vehicle states over an imminent time horizon, while HSC provides haptic guidance on the steering wheel in case of an unsafe driver’s steering input. By means of prediction, the system can notify the driver of incoming handling limits before they are reached, and provide haptic support to mitigate understeer proactively. The effectiveness of the driver haptic support was evaluated in a driving simulator study, in which a total of 32 participants took part. The results demonstrate that haptic support has a positive impact on drivers, supporting them to mitigate understeer and significantly reducing lane deviation. The findings of this research offer new perspectives for the design of human-centered vehicle safety systems.
Item Type:Essay (Master)
Delft University of Technology, Delft, Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:55 traffic technology, transport technology
Programme:Systems and Control MSc (60359)
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