Analysis of hourly crash likelihood using unbalanced panel data mixed logit model and real-time driving environmental big data

Feng Chen, Suren Chen, Xiaoxiang Ma

Open source

DOI: 10.1016/j.jsr.2018.02.010
Published: 2018-06
Container: Journal of Safety Research
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.jsr.2018.02.010,
  title = {Analysis of hourly crash likelihood using unbalanced panel data mixed logit model and real-time driving environmental big data},
  author = {Feng Chen and Suren Chen and Xiaoxiang Ma},
  year = {2018},
  journal = {Journal of Safety Research},
  doi = {10.1016/j.jsr.2018.02.010},
  url = {https://doi.org/10.1016/j.jsr.2018.02.010}
}

RIS

TY  - JOUR
TI  - Analysis of hourly crash likelihood using unbalanced panel data mixed logit model and real-time driving environmental big data
AU  - Feng Chen
AU  - Suren Chen
AU  - Xiaoxiang Ma
PY  - 2018
JO  - Journal of Safety Research
DO  - 10.1016/j.jsr.2018.02.010
UR  - https://doi.org/10.1016/j.jsr.2018.02.010
ER  -

APA

Chen, F., Chen, S., & Ma, X. (2018). Analysis of hourly crash likelihood using unbalanced panel data mixed logit model and real-time driving environmental big data. Journal of Safety Research. https://doi.org/10.1016/j.jsr.2018.02.010

Source records

crossref · retrieved 2026-09-26T05:05:34.675Z