Use of Hybrid Data Collection in Traffic Accident Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F25%3A00386021" target="_blank" >RIV/68407700:21260/25:00386021 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1016/j.trpro.2025.10.042" target="_blank" >https://doi.org/10.1016/j.trpro.2025.10.042</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.trpro.2025.10.042" target="_blank" >10.1016/j.trpro.2025.10.042</a>

Result language

angličtina

Original language name

Use of Hybrid Data Collection in Traffic Accident Analysis

Original language description

This study evaluates the applicability of a hybrid spatial data acquisition technology integrating mobile laser scanning, photogrammetry, and RTK GNSS positioning for detailed documentation of vehicle following traffic accidents. The main intention was to assess the accuracy, operational flexibility and robustness of the outputs under real and simulated conditions. The focus was on capturing and identifying vehicle deformations in high detail. Data collection was performed using an Apple iPhone 15 Pro with a viDoc RTK GNSS receiver, and reference measurements were obtained using a Leica RTC360 terrestrial laser scanner. Comparative analyses demonstrated that the hybrid approach, especially when using RTK GNSS, Image Overlap trigger, Pix4D Cloud or Pix4D Matic processing, and fused point clouds, consistently yielded the lowest mean error and standard deviation. The typical measurement errors ranged from 1–2 cm, comparable to or better than existing literature for similar applications. The method proved robust to moderate suboptimal conditions (such as twilight or occasional capture artefacts) and required minimal user training. The study focused on documenting vehicle deformations and their immediate surroundings; further research is required to validate the approach for comprehensive accident scene documentation. The results demonstrate that hybrid mobile acquisition with RTK positioning is a practical and accurate tool for documentation of vehicle damage after collisions.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20104 - Transport engineering

Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Transportation Research Procedia

ISBN

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ISSN

2352-1457

e-ISSN

2352-1465

Number of pages

8

Pages from-to

321-328

Publisher name

Elsevier B.V.

Place of publication

Amsterdam

Event location

Zagreb

Event date

Dec 11, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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