Impact of Road Geometry and Temporal Factors on the Number of Vehicles in Traffic Accidents: A GIS-Based Study (Accepted at ISAG 2026)

This study investigates the impact of road geometry and temporal factors on the number of vehicles involved in traffic accidents using GIS-based analysis. The research focuses on identifying spatial and temporal patterns influencing accident severity, with particular attention to road characteristics and time-related variables. Statistical and spatial analysis methods are applied to accident data to evaluate their combined effect. The results highlight key factors contributing to multi-vehicle accidents and provide insights for improving traffic safety and infrastructure planning. This paper has been accepted for presentation at ISAG 2026. The final version will be published in the conference proceedings. This preprint is shared to facilitate early dissemination of the research results.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-13
DOI
https://doi.org/10.5281/zenodo.19550663
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
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article

Impact of Road Geometry and Temporal Factors on the Number of Vehicles in Traffic Accidents: A GIS-Based Study (Accepted at ISAG 2026)

Gavrilov Igor, Hrubeš Pavel
Zenodo (CERN European Organization for Nuclear Research)
Traffic and Road Safety
article

Impact of Road Geometry and Temporal Factors on the Number of Vehicles in Traffic Accidents: A GIS-Based Study (Accepted at ISAG 2026)

Gavrilov Igor, Hrubeš Pavel
article en

Abstract

This study investigates the impact of road geometry and temporal factors on the number of vehicles involved in traffic accidents using GIS-based analysis. The research focuses on identifying spatial and temporal patterns influencing accident severity, with particular attention to road characteristics and time-related variables. Statistical and spatial analysis methods are applied to accident data to evaluate their combined effect. The results highlight key factors contributing to multi-vehicle accidents and provide insights for improving traffic safety and infrastructure planning. This paper has been accepted for presentation at ISAG 2026. The final version will be published in the conference proceedings. This preprint is shared to facilitate early dissemination of the research results.

Zenodo (CERN European Organization for Nuclear Research)
Czech Technical University in Prague (CZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Traffic and Road Safety
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