Traffic Accident Prediction Based on Comprehensive Data Comparison
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F21%3A00355442" target="_blank" >RIV/68407700:21260/21:00355442 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Traffic Accident Prediction Based on Comprehensive Data Comparison
Original language description
The project aims to improve the road safety by identification of potentially risky locations on roads that show similarities to known accident locations. This contribution presents an algorithm that is combining the commonly used methods and the road characteristics identified through the road network analysis and road passport. It is able to search for potentially risky locations on the road network and alert the road managers to the potentially risk prone sites.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20104 - Transport engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Transport for Today’s Society - Proceedings
ISBN
978-9989-786-63-1
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
234-237
Publisher name
University St Kliment Ohridski Bitola
Place of publication
Bitola
Event location
Bitola
Event date
Oct 14, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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