Leich, Andreas und Fuchs, Julian und Srinivas, Gurucharan und Niemeijer, Joshua und Wagner, Peter (2022) Traffic Safety at German Roundabouts—A Replication Study. Safety. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/safety8030050. ISSN 2313-576X.
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Offizielle URL: https://www.mdpi.com/2313-576X/8/3/50
Kurzfassung
Roundabouts are well-known for their ability to improve upon traffic safety, especially for motorized traffic. An in-depth analysis on this topic is known from previous work. It was found that different types of roundabouts have different levels of safety. The work at hand is a replication study for a previous study in this regard. It uses a mix of traditional and a Machine Learning (ML)-based approach, expands on the previous results and replicates some of the previous findings. This was possible especially by using a factor of 10 more roundabouts in the analysis, with considerably less manual intervention. Furthermore, this study could also draw some additional conclusions regarding the safety of bicyclists, which were not included in the original study. Finally, by using cross-validation techniques, a kind of minimal model could be established that needs fewer factors and achieves better prediction quality than straightforward glm models.
elib-URL des Eintrags: | https://elib.dlr.de/189130/ | ||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||
Titel: | Traffic Safety at German Roundabouts—A Replication Study | ||||||||||||||||||||||||
Autoren: |
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Datum: | 6 Juli 2022 | ||||||||||||||||||||||||
Erschienen in: | Safety | ||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||
Gold Open Access: | Ja | ||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||
DOI: | 10.3390/safety8030050 | ||||||||||||||||||||||||
Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||||||||||
Name der Reihe: | MDPI Safety | ||||||||||||||||||||||||
ISSN: | 2313-576X | ||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||
Stichwörter: | road safety; crash rates; traffic safety; roundabouts; machine learning | ||||||||||||||||||||||||
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 - D.MoVe (alt) | ||||||||||||||||||||||||
Standort: | Berlin-Adlershof , Braunschweig | ||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Verkehrssystemtechnik Institut für Verkehrssystemtechnik > Informationsgewinnung und Modellierung, BA Institut für Verkehrssystemtechnik > Design & Bewertung von Mobilitätslösungen, BA Institut für Verkehrssystemtechnik > Kooperative Systeme, BS | ||||||||||||||||||||||||
Hinterlegt von: | Leich, Dr.-Ing. Andreas | ||||||||||||||||||||||||
Hinterlegt am: | 03 Nov 2022 07:16 | ||||||||||||||||||||||||
Letzte Änderung: | 03 Nov 2022 07:16 |
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