Application of Conditional Deep Generative Networks (CGAN) in empirical bayes estimation of road crash risk and identifying crash hotspots

Author:

Zarei Mohammad,Hellinga Bruce,Izadpanah Pedram

Funder

Transport Canada

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference56 articles.

1. Conditional generative adversarial networks for regression;Aggarwal;ArXiv190512868 Cs Stat.,2019

2. Empirical bayes application on low-volume roads: Oregon case study;Al-Kaisy;J. Saf. Res.,2021

3. Developing updatable crash prediction model for network screening: case study of czech two-lane rural road segments;Ambros;Transport. Res. Rec.,2016

4. Buhrmester, V., Münch, D., Arens, M., 2019. Analysis of explainers of black box deep neural networks for computer vision: A survey, arXiv preprint arXiv:1911.12116.

5. Real-time crash prediction on expressways using deep generative models;Cai;Transport. Res. Part C: Emerg. Technol.,2020

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