Evaluation of Hybrid Data Collection for Traffic Accident Site Documentation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F25%3A00386656" target="_blank" >RIV/68407700:21260/25:00386656 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3390/geomatics5040077" target="_blank" >https://doi.org/10.3390/geomatics5040077</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/geomatics5040077" target="_blank" >10.3390/geomatics5040077</a>
Alternative languages
Result language
angličtina
Original language name
Evaluation of Hybrid Data Collection for Traffic Accident Site Documentation
Original language description
This study examines the possibilities of using hybrid data collection methods based on photogrammetric and LiDAR imaging for documenting traffic accident sites. The evaluation was performed with an iPhone 15 Pro and a viDoc GNSS receiver. Comparative measurements were made against instruments with higher accuracy. The test scenarios included measuring errors along a 25 m line and scanning a larger traffic area. Measurements were conducted under limiting conditions on a homogeneous surface without terrain irregularities or objects. The results show that although hybrid scanning cannot fully replace traditional surveying instruments, it provides accurate and time-efficient results for documenting traffic accident sites. Moreover, it was confirmed that the use of a GNSS receiver and control points has a significant impact on the quality of the data. To achieve accuracy, it is recommended to use a scanning mode based on at least 90% image overlap with RTK GNSS. The relative error rate on a linear section ranged from 0.5 to 1.0%, which corresponds to an error of up to 5 cm over a 5 m section. When evaluating a larger area using hybrid data collection, 93.38% of the points had an error below 10 cm, with a mean deviation of 6.2 cm.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20104 - Transport engineering
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Geomatics
ISSN
2673-7418
e-ISSN
2673-7418
Volume of the periodical
5
Issue of the periodical within the volume
4
Country of publishing house
CH - SWITZERLAND
Number of pages
25
Pages from-to
1-25
UT code for WoS article
001646619300001
EID of the result in the Scopus database
2-s2.0-105025796968