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Practical and statistical challenges in driving research
Author(s) -
Dawson Jeffrey D.
Publication year - 2018
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.7903
Subject(s) - computer science , big data , process (computing) , data science , automotive industry , statistical analysis , risk analysis (engineering) , management science , operations research , business , data mining , engineering , statistics , mathematics , aerospace engineering , operating system
Driving is an integral aspect of many modern societies, and motor vehicle safety is an important public health issue. With advances in sensor technology, more and more driving data are being collected by researchers, insurers, and automobile companies, which has increased the need and opportunities for statisticians to be involved in driving research. This report discusses several practical and statistical challenges in driver‐level studies, including the process of defining meaningful driving metrics, issues related to “Big Data” aspects of driving research, and the principle of reproducible research.