Spatial modelling of accidents risk caused by driver drowsiness with data mining algorithms-Reference-Cited by-同舟云学术

Spatial modelling of accidents risk caused by driver drowsiness with data mining algorithms

Published:2021-12-26 Issue: Volume: Page:1-19
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Farhangi Farbod¹,Sadeghi-Niaraki Abolghasem¹²,Nahvi Ali³,Razavi-Termeh Seyed Vahid¹

Affiliation:

1. Faculty of Geodesy and Geomatics Engineering, K.N, Geoinformation Tech. Center of Excellence, Toosi University of Technology, Tehran, Iran

2. Department of Computer Science and Engineering, Sejong University, Seoul, Republic of Korea

3. Mechanical Engineering Department, K.N. Toosi University of Technology, Tehran, Iran

Funder

the Plan and Budget Office of the Iran Road Maintenance & Transportation Organization (IRMTO).

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2020.1831626

Reference65 articles.

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2. Epidemiology of Road Traffic Injuries in Iran: Based on the Data from Disaster Management Information System (DMIS) Of the Iranian Red Crescent

3. Beshah T, Hill S. 2010. Mining road traffic accident data to improve safety: role of road-related factors on accident severity in Ethiopia. Artificial Intelligence for Development, Papers from the 2010 AAAI Spring Symposium, Technical Report SS-10-01, Mar 22–24; Stanford, California, USA.

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