Prediction of Road Accidents’ Severity on Russian Roads Using Machine Learning Techniques-Reference-Cited by-同舟云学术

Prediction of Road Accidents’ Severity on Russian Roads Using Machine Learning Techniques

Published:2019-11-15 Issue: Volume: Page:1493-1501
ISSN:2195-4356
Container-title:Lecture Notes in Mechanical Engineering
language:
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Author:

Donchenko D.,Sadovnikova N.,Parygin D.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-22063-1_157

Reference28 articles.

1. Road Safety Indicators (2018) GIBDD. http://stat.gibdd.ru/ . Accessed 11 Nov 2018

2. Global status report on road safety 2018 (2018) WHO. https://www.who.int/violence_injury_prevention/road_safety_status/2018/en/ . Accessed 22 Dec 2018

3. Statistics of accidents in Russia and the world. Dossier (2016) TASS. https://tass.ru/info/3233185 . Accessed 10 Dec 2018

4. Buranov I (2017) Traffic police looking for an emergency exit. In: Kommersant. https://www.kommersant.ru/doc/3398213 . Accessed 14 Dec 2018

5. Sadovnikova N, Parygin D, Kalinkina M et al (2015) Models and methods for the urban transit system research. CCIS 535:488–499. https://doi.org/10.1007/978-3-319-23766-4_39

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