Profiling mobility patterns and driving behaviors of individual drivers via trajectory trait
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PUBLIC SUMMARY
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Four trajectory traits are proposed to model driver profile: extroversion, openness, neuroticism, and conscientiousness.
The consistency between the trajectory traits and external behavior observations is validated by experiments.
Trajectory integrity, seasonal changes, and traffic conditions exert small but noteworthy impacts on profile stability.
The proposed driver profile has broader potential for driving safety, advertising and marketing, sustainable transport.
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ABSTRACT
Driver profiling can provide a human-centered approach to portraying individual travel behavior and revealing their motivation, objectives, and needs, thereby contributing to driving safety analysis, location-based service, and intelligent transportation. However, existing trajectory-based methods are limited to measuring low-level features, such as average speed and radius of gyration. Although these features can characterize specific observable behaviors, such as driving operation and movement range, they fail to depict stable traits underlying individual travel behavior. In this study, inspired by the Big Five Personality Traits, we model the driver profile through four fundamental trajectory traits: extroversion, openness, neuroticism, and conscientiousness, and quantify these traits by developing a Trajectory Trait Scale (TTS). Experiments on more than one million trajectories from 2,051 anonymized private vehicle volunteers over eight months demonstrate that our method can provide a valid representation of individual drivers’ mobility patterns and driving behaviors. Specifically, we validate the consistency between trajectory traits and vehicle customer service records of drivers, including life rescue, navigation service, violation query, and fatigue companion. Besides, we find that trajectory integrity, seasonal changes, and traffic conditions exert small but non-negligible impacts on the stability of trajectory traits. These findings can enhance the understanding of human behavior in various spatiotemporal contexts, and illuminate the relations between trajectory traits and personality traits. -
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REFERENCES
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Liu Y., Gui Z., Xu Y., et al. (2025). Profiling mobility patterns and driving behaviors of individual drivers via trajectory trait. The Innovation Geoscience 3:100114. https://doi.org/10.59717/j.xinn-geo.2024.100114
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Liu Y., Gui Z., Xu Y., et al. (2025). Profiling mobility patterns and driving behaviors of individual drivers via trajectory trait. The Innovation Geoscience 3:100114. https://doi.org/10.59717/j.xinn-geo.2024.100114
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Figure 1.
Methodology and results of trajectory profiling
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Figure 3.
Data split-half reliability of the four subscales in TTS
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Figure 4.
Validity of extroversion and openness subscales
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Figure 5.
Validity of neuroticism and conscientiousness subscales
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Figure 6.
Differences in trajectory traits between drivers with and without vehicle customer service records
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Figure 7.
The impact of trajectory integrity on trajectory trait profile
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Figure 8.
The impact of seasonal changes on trajectory trait profile
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