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International Journal of Intelligent Transportation Systems Research
Erschienen in:

23.06.2015

Analysis of the Different Duration Stages of Accidents with Hazard-Based Model

verfasst von: Ruimin Li, Min Guo, Huapu Lu

Erschienen in: International Journal of Intelligent Transportation Systems Research | Ausgabe 1/2017

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Abstract

This study investigates and identifies significant contributing variables that affect the duration of three traffic accident stages, namely, preparation, travel, and clearance as well as the total duration of the accident. Accelerated failure time (AFT) hazard-based models were developed with different underlying probability distributions for the hazard function, including models with gamma heterogeneity and models with time-varying covariates. The results indicate that the gamma distribution model with a time variable is the best model for the four different duration stages, and different parameters and variables were appropriate for modeling the different duration stages of traffic accidents. The findings of this study provide an important demonstration of method and an empirical basis for accident management programs.
Vorheriger Artikel An Indoor Positioning Method for Micro Intelligent Vehicles
Nächster Artikel Detection of Driving Events using Sensory Data on Smartphone

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Metadaten
Titel
Analysis of the Different Duration Stages of Accidents with Hazard-Based Model
verfasst von
Ruimin Li
Min Guo
Huapu Lu
Publikationsdatum
23.06.2015
Verlag
Springer US
Erschienen in
International Journal of Intelligent Transportation Systems Research / Ausgabe 1/2017
Print ISSN: 1348-8503
Elektronische ISSN: 1868-8659
DOI
https://doi.org/10.1007/s13177-015-0115-6

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