Trade-off between jerk and time headway as an indicator of driving style.

Itkonen, Teemu H; Pekkanen, Jami; Lappi, Otto; Kosonen, Iisakki; Luttinen, Tapio; Summala, Heikki · 2017 · DOAJ

DOI: 10.1371/journal.pone.0185856

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Summary

This study addresses the lack of theoretical consistency between traffic psychology and transportation engineering regarding "driving style," specifically focusing on longitudinal control in car-following scenarios. While traffic psychology views driving style as a stable, habitual behavior linked to psychological traits, engineering models often treat driver heterogeneity as random noise or isolated parameters. The authors aim to bridge this gap by investigating whether observable physical measures—time headway, acceleration, and jerk—reveal a consistent trade-off that indicates a latent factor underlying driving style. To test this, the researchers conducted a controlled experiment using a driving simulator with 15 licensed participants. The experimental design eliminated environmental and vehicle variability by having all participants drive the same virtual vehicle through identical car-following maneuvers. The task involved following a lead vehicle through 24 randomized blocks of speed transitions (10, 30, 50, and 80 km/h). Steering was disabled, forcing participants to rely solely on throttle and brake inputs to maintain a gap that "felt appropriate." Data on acceleration, jerk (the rate of change of acceleration), and time headway were collected and analyzed using absolute averages and geometric means to characterize individual driving behaviors. The results identified significant individual differences in how participants managed the trade-off between proximity and smoothness. The authors categorized these behaviors into two distinct styles: "intensive" driving, characterized by close following distances but high jerk (jerky movements), and "calm" driving, characterized by larger following distances and smoother acceleration profiles. This finding suggests that drivers do not vary randomly across all metrics but rather exhibit a systematic compromise between maintaining short time headways and minimizing vehicle jerk. The significance of this work lies in its proposal of a quantifiable, observable indicator for driving style that can unify psychological and engineering perspectives. By identifying this jerk-time headway trade-off as a potential latent factor, the study provides a framework for modeling driver heterogeneity in traffic microsimulations. This approach allows for more realistic representations of driver populations in simulations, which is critical for improving traffic flow models and designing autonomous vehicles that must interact safely with human drivers exhibiting diverse longitudinal control habits.

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.

Topics

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• following distance
• sensation seeking
• personality driving
• steering pattern
• speed choice
• cultural cross national

Information type

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• Empirical Findings: behavioral performance data
• Theoretical Contribution: computational model, theory or model