Statistical Methods for Naturalistic Driving Studies

The naturalistic driving study (NDS) is an innovative research method characterized by the continuous recording of driving information using advanced instrumentation under real-world driving conditions. NDSs provide opportunities to assess driving risks that are difficult to evaluate using tradition...

Full description

Saved in:
Bibliographic Details
Published in:Annual review of statistics and its application 2019-03, Vol.6 (1), p.309-328
Main Author: Guo, Feng
Format: Article
Language:English
Subjects:
case-cohort
case-crossover
distraction
driver behavior
generalized linear models
naturalistic driving study
recurrent event models
traffic safety
Citations: Items that this one cites
Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The naturalistic driving study (NDS) is an innovative research method characterized by the continuous recording of driving information using advanced instrumentation under real-world driving conditions. NDSs provide opportunities to assess driving risks that are difficult to evaluate using traditional crash database or experimental methods. NDS findings have profound impacts on driving safety research, safety countermeasures development, and public policy. NDSs also come with attendant challenges to statistical analysis, however, due to the sheer volume of data collected, complex structure, and high cost associated with information extraction. This article reviews statistical and analytical methods for working with NDS data. Topics include the characteristics of NDSs; NDS data components; and epidemiological approaches for video-based risk modeling, including case-cohort and case-crossover study designs, logistic models, Poisson models, and recurrent event models. The article also discusses several key issues related to NDS analysis, such as crash surrogates and alternative reference exposure levels.
ISSN:2326-8298
2326-831X
DOI:10.1146/annurev-statistics-030718-105153