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A deep learning approach for real-time crash prediction using vehicle-by-vehicle data.
Accid Anal Prev. 2021 Nov;162:106409. doi: 10.1016/j.aap.2021.106409. Epub 2021 Sep 30.
Accid Anal Prev. 2021.
PMID: 34600313
Estimation of trip purposes in public transport during the COVID-19 pandemic: The case of Santiago, Chile.
Pezoa R, Basso F, Quilodrán P, Varas M.
Pezoa R, et al.
J Transp Geogr. 2023 May;109:103594. doi: 10.1016/j.jtrangeo.2023.103594. Epub 2023 Apr 21.
J Transp Geogr. 2023.
PMID: 37123884
Free PMC article.
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Crowding on public transport using smart card data during the COVID-19 pandemic: New methodology and case study in Chile.
Basso F, Frez J, Hernández H, Leiva V, Pezoa R, Varas M.
Basso F, et al. Among authors: pezoa r.
Sustain Cities Soc. 2023 Sep;96:104712. doi: 10.1016/j.scs.2023.104712. Epub 2023 Jun 8.
Sustain Cities Soc. 2023.
PMID: 37313370
Free PMC article.
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The importance of flow composition in real-time crash prediction.
Basso F, Basso LJ, Pezoa R.
Basso F, et al. Among authors: pezoa r.
Accid Anal Prev. 2020 Mar;137:105436. doi: 10.1016/j.aap.2020.105436. Epub 2020 Jan 31.
Accid Anal Prev. 2020.
PMID: 32014629
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