November 13, 2025Smart CitiesOpen Access

Modeling Informal Driver Interaction and Priority Behavior in Smart-City Traffic Systems

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Driver behavior significantly influences traffic performance in Smart City models, enhancing capacity evaluation.
Key evidence shows that including psychological priority improved agreement between calculated and observed waiting times (R² = 0.83).
Analysis based on observations and linear regression modeling at an intersection in Prešov evaluated 28 driver interactions.
Findings highlight the need for incorporating behavioral variability in traffic simulations for safer urban mobility systems.

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Implication

Observational analysis of driver behavior and capacity evaluation in Smart Cities suggests incorporating psychological priority improves traffic modeling accuracy.

Cite This Study

Kalašová et al. (2025) studied this question.

synapsesocial.com/papers/692523c6c0ce034ddc354ff4 https://doi.org/10.3390/smartcities8060193

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Implication

Observational analysis of driver behavior and capacity evaluation in Smart Cities suggests incorporating psychological priority improves traffic modeling accuracy.

Modeling Informal Driver Interaction and Priority Behavior in Smart-City Traffic Systems

Key Points

Discussion

Implication

Cite This Study

Modeling Informal Driver Interaction and Priority Behavior in Smart-City Traffic Systems

Key Points

Discussion

Implication

Cite This Study

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