Driver crash risk factors and prevalence evaluation using naturalistic driving data

By T. Dingus, F. Guo, Suzie Lee, J. Antin, Miguel A. Perez, Mindy Buchanan‐King, J. Hankey. Proceedings of the National Academy of Sciences of the United States of America, 2016

990 citations recorded by the source corpus.

Subfields: Automotive Engineering, Safety, Risk, Reliability and Quality, Social Psychology

View Paper: https://www.semanticscholar.org/paper/d7f5194bbc883c1cdbdf45aaacbf5d3a772ebd40

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. J. D. de Winter
2. Riender Happee
3. Miltos Kyriakidis

In Safety, Risk, Reliability and Quality

1. Miltos Kyriakidis
2. J. D. de Winter
3. Riender Happee
4. Christopher D. D. Cabrall

In Social Psychology

1. Miltos Kyriakidis
2. J. D. de Winter
3. Riender Happee
4. Christopher D. D. Cabrall

Citations in the corpus

• Human factors of transitions in automated driving: A general framework and literature survey (2016, background): “An example is when Sdx and Sdy are both switched on, Sax and Say are both switched off, and alpha is smaller than 1, which corresponds to distracted manual driving (cf. Dingus et al., 2016).”