Guided Control of Human Drivers: Control Design and Experiments

This brief investigates the guidance of a human driver via an automated lead vehicle, when the automated vehicle is not only responding to a reference velocity but it also takes into account the speed of the subsequent human-driven vehicle (HV). To verify the theoretical results, a human-in-the-loop (HITL) simulation environment is developed, in which a graphical interface illustrates the automated vehicle ahead, while the human operator controls the velocity of the following vehicle via the accelerator and brake pedals. Nine human drivers were involved in the experiments, each of them carried out the driving task for 79 control gain combinations of the automated vehicle. Based on the measurement data, the parameters of the human driver model were estimated using the sweeping least squares method; the measurement results confirmed the applicability of the theoretical model in designing advanced traffic control strategies.

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Publication Details

Journal
IEEE Transactions on Control Systems Technology
Published
2025-06-03
DOI
https://doi.org/10.1109/tcst.2025.3571601
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Guided Control of Human Drivers: Control Design and Experiments

Gábor Stépàn, Bence Mate Szaksz, Gábor Orosz
IEEE Transactions on Control Systems Technology
Vehicle Dynamics and Control Systems
article

Guided Control of Human Drivers: Control Design and Experiments

Gábor Stépàn, Bence Mate Szaksz, Gábor Orosz
article en

Abstract

This brief investigates the guidance of a human driver via an automated lead vehicle, when the automated vehicle is not only responding to a reference velocity but it also takes into account the speed of the subsequent human-driven vehicle (HV). To verify the theoretical results, a human-in-the-loop (HITL) simulation environment is developed, in which a graphical interface illustrates the automated vehicle ahead, while the human operator controls the velocity of the following vehicle via the accelerator and brake pedals. Nine human drivers were involved in the experiments, each of them carried out the driving task for 79 control gain combinations of the automated vehicle. Based on the measurement data, the parameters of the human driver model were estimated using the sweeping least squares method; the measurement results confirmed the applicability of the theoretical model in designing advanced traffic control strategies.

IEEE Transactions on Control Systems TechnologyVol. 33(6)
University of Michigan (US), Budapest University of Technology and Economics (HU)
Gender equality
Openalex Percentile: Top 88%
Vehicle Dynamics and Control Systems
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