Prediction of rear-end conflict frequency using multiple-location traffic parameters

•Rear-end conflict frequency in an urban network is investigated.•Vehicle-to-Vehicle data from multiple locations are utilized.•Conflict frequency is correlated with network traffic state.•Zero-Inflated, Negative Binomial and quasi-Poisson models are developed.•High variations in speed and congested...

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Veröffentlicht in:	Accident analysis and prevention 2021-03, Vol.152, p.106007-106007, Article 106007
Hauptverfasser:	Katrakazas, Christos, Theofilatos, Athanasios, Islam, Md Ashraful, Papadimitriou, Eleonora, Dimitriou, Loukas, Antoniou, Constantinos
Format:	Artikel
Sprache:	eng
Schlagworte:	Count data modelling Safety Surrogate safety measures Traffic conflicts
Online-Zugang:	Volltext
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