journal article·2025-05-13Open access

Development of a Stability Index for Evaluating Drivers’ Psychological Stability During Truck Platooning

Hyonbae Cho, Yejin Kim, SeokJin Oh, Ilsoo Yun

Applied Sciences· Volume 15· Issue 10

Abstract

This study proposes a stability index to quantitatively evaluate the psychological stability of drivers during truck platooning. Truck platooning is a technique in which a manually driven lead truck is followed by automated trucks using V2X communication and onboard sensors. While significant technical advances have been made in truck platooning, research on drivers’ psychological comfort remains limited. Due to the shorter intervehicle time gaps compared to conventional trucking, truck platooning raises concerns regarding drivers’ psychological stability. The proposed index quantifies this aspect and is validated using a driving simulator. Both the stability index calculations and the survey consistently indicate that when the time gap decreases to 0.6 s (approximately 15 m) or less, drivers’ psychological stability deteriorates. However, increasing the time gap beyond 0.6 s does not significantly improve it. Furthermore, this study investigates the effect of the see-through functionality, which provides real-time front-view footage of the preceding vehicle to the following driver. The results confirm that this functionality enhances psychological stability, even under a short time gap. The stability index should serve as a practical indicator for designing truck platooning systems that consider drivers’ psychological stability and may be extended to various advanced driving technologies, including general vehicle platooning.
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Research context

OpenAlex topics: Human-Automation Interaction and Safety · Traffic and Road Safety · Sleep and Work-Related Fatigue

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Human Resource Development Center, Korea Expressway Corporation, Hwaseong 18489, Republic of Korea

Department of Data, Networks, and AI, Ajou University, Suwon 16499, Republic of Korea

Department of Civil and Environmental Engineering, Honam University, Gwangju 62399, Republic of Korea

Department of Transportation Engineering, Ajou University, Suwon 16499, Republic of Korea

Funding

Korea Institute of Police Technology (KIPoT)

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