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About the relation between severity and frequency of traffic conflicts and accidents: A case study based on real-world data

Schicktanz, Clemens und Leschik, Claudia und Gimm, Kay (2024) About the relation between severity and frequency of traffic conflicts and accidents: A case study based on real-world data. ICTCT Conference 2024 - Inclusive and interdisciplinary road safety research, 2024-10-17 - 2024-10-18, the Hague, the Netherlands.

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Offizielle URL: https://www.ictct.net/conferences/36-hague-2024/#submission

Kurzfassung

Understanding the relationship between traffic conflict severity and frequency is essential for enhancing road safety measures and implementing effective traffic management strategies. We aim to extend existing research by providing a case study about the comparison of severity and frequency of traffic conflicts occurring at the same location. The theoretical background of our study stems from the conceptual framework, which visualizes the relationship between traffic conflicts and accidents in the form of a pyramid. While this framework provides valuable insights, there remains a research gap of studies that empirically validate and quantify this relationship. Thus, our study seeks to address this gap by utilizing long-term observational data collected from a high-traffic urban intersection. Our research methodology involves the comprehensive analysis of trajectory data obtained from extensive observations conducted over multiple months. Specifically, we focus on a scenario involving unprotected left turns crossing oncoming traffic, a common traffic maneuver associated with a risk of accidents and conflicts. By leveraging advanced data analytics techniques, we aim to identify patterns that are relevant for the conflict. Our results indicate a relationship between the severity and frequency of traffic conflicts. While the number of accidents detected is low, the frequency of minor conflicts and encounters is notably higher. This disparity underscores the importance of refining and standardizing automated conflict detection methods to accurately capture the spectrum of traffic events. Thus, we highlight the need for ongoing research to explore alternative methodologies for conflict detection. In conclusion, our study contributes to the growing body of literature on traffic safety by validating the relationship between severity and frequency of traffic events. Overall, our study confirms the hypothesis that accidents are less frequent than minor conflicts, suggesting potential implications for traffic safety interventions and policy development. https://www.ictct.net/wp-content/uploads/36-Hague-2024/ICTCT2024_paper_41.pdf

elib-URL des Eintrags:https://elib.dlr.de/210942/
Dokumentart:Konferenzbeitrag (Poster, Anderer)
Titel:About the relation between severity and frequency of traffic conflicts and accidents: A case study based on real-world data
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Schicktanz, ClemensClemens.Schicktanz (at) dlr.dehttps://orcid.org/0000-0002-3234-2086NICHT SPEZIFIZIERT
Leschik, ClaudiaClaudia.Leschik (at) dlr.dehttps://orcid.org/0000-0001-8232-9608NICHT SPEZIFIZIERT
Gimm, Kaykay.gimm (at) dlr.dehttps://orcid.org/0000-0002-5136-685XNICHT SPEZIFIZIERT
Datum:2024
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:traffic safety pyramid, real-world data, traffic accidents and conflicts
Veranstaltungstitel:ICTCT Conference 2024 - Inclusive and interdisciplinary road safety research
Veranstaltungsort:the Hague, the Netherlands
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:17 Oktober 2024
Veranstaltungsende:18 Oktober 2024
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Straßenverkehr
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V ST Straßenverkehr
DLR - Teilgebiet (Projekt, Vorhaben):V - V&V4NGC - Methoden, Prozesse und Werkzeugketten für die Validierung & Verifikation von NGC
Standort: Berlin-Adlershof
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Informationsgewinnung und Modellierung, BA
Hinterlegt von: Schicktanz, Clemens
Hinterlegt am:19 Dez 2024 12:12
Letzte Änderung:19 Dez 2024 12:12

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