Understanding key factors in automated vehicle collisions: Automating data extraction and analyzing key insights using explainable AI-Reference-Cited by-同舟云学术

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Understanding key factors in automated vehicle collisions: Automating data extraction and analyzing key insights using explainable AI

Published:2024-02-26 Issue: Volume: Page:1-24
ISSN:1943-9962
Container-title:Journal of Transportation Safety & Security
language:en
Short-container-title:Journal of Transportation Safety & Security

Author:

Haroon Saquib M.¹,Ryan Alyssa¹

Affiliation:

1. Department of Civil and Architectural Engineering and Mechanics, University of Arizona, Tucson, AZ, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19439962.2024.2320630

Reference40 articles.

1. Ai J. (2023). EasyOCR. https://github.com/JaidedAI/EasyOCR/.

2. Alambeigi H. McDonald A. D. Tankasala S. R. (2020). Crash themes in automated vehicles: A topic modeling analysis of the California department of motor vehicles automated vehicle crash database. arXiv preprint arXiv:2001.11087.

3. Belval E. (2023). pdf2image: Python PDF to image converter. https://pypi.org/project/pdf2image/.

4. Berkeley SafeTREC. (2022). https://safetrec.berkeley.edu/.

5. Bhatia, G., Tewari, A., Gurbani, G., Gokhale, S., Varyomalani, N., Kirtikar, R., … Athavale, S. (2021). Extraction of tabular data from pdf to csv files. In Data management, analytics and innovation: Proceedings of ICDMAI 2020 (vol. 1, pp. 183––193). Springer.

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