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A bivariate, non-stationary extreme value model for estimat..:
Howlader, Md Mohasin
;
Bhaskar, Ashish
;
Yasmin, Shamsunnahar
.
Transportation Research Part C: Emerging Technologies. 160 (2024) - p. 104509 , 2024
Link:
https://doi.org/10.1016/j.trc.2024.104509
RT Journal T1 <Title>A bivariate, non-stationary extreme value model for estimating opposing-through crash frequency by severity by applying artificial intelligence-based video analytics</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.trc.2024.104509&Exemplar=1&LAN=DE A1 Howlader, Md Mohasin A1 Bhaskar, Ashish A1 Yasmin, Shamsunnahar A1 Haque, Md Mazharul PB Elsevier BV YR 2024 SN 0968-090X JF Transportation Research Part C: Emerging Technologies VO 160 SP 104509 LK http://dx.doi.org/https://doi.org/10.1016/j.trc.2024.104509 DO https://doi.org/10.1016/j.trc.2024.104509 SF ELIB - SuUB Bremen
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