A Real-Time Machine Learning-Based Road Safety Monitoring and Assessment System-Reference-Cited by-同舟云学术

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A Real-Time Machine Learning-Based Road Safety Monitoring and Assessment System

Published:2024-03-28 Issue:2 Volume:22 Page:259-281
ISSN:1348-8503
Container-title:International Journal of Intelligent Transportation Systems Research
language:en
Short-container-title:Int. J. ITS Res.

Author:

Fowdur Tulsi Pawan^ORCID,Hawseea Mohammed Fayez

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13177-024-00395-3.pdf

Reference31 articles.

1. Govmu.org: (2022). Available: https://statsmauritius.govmu.org/Pages/Statistics/ESI/Transport/RT_RTA_Jan-Jun22.aspx. Accessed 7 July 2023

2. WHO, World Health Organiztion: (2022). Available: https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries. Accessed 13 July 2023

3. Wes, M.: WorldBank.org. (2015). Available: https://www.worldbank.org/en/news/opinion/2015/01/05/prevent-road-accidents-the-swedish-example. Accessed 13 July 2023

4. R. a. I. Magazine: (2018). Available: https://roadsonline.com.au/saving-lives-on-country-roads-the-potential-for-flexible-safety-barriers-on-au-roads/. Accessed 13 July 2023

5. Ahmed, K.R.: Smart pothole detection using deep learning based on dilated convolution. Sensors 21(24), 8406 (2021). https://doi.org/10.3390/s21248406

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