Analysis of Predisposition of Drivers to Cause Road Accidents in Guwahati Using a Neural Network
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6229-7_53
Reference19 articles.
1. World Health Organization (2023) https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries, Last accessed on 1 Feb 2023
2. Koramati S, Mukherjee A, Majumdar BB, Kar A (2023) Development of crash prediction model using artificial neural network (ANN): a case study of Hyderabad, India. J Inst Eng India Ser A 104(1):63–80
3. Chakraborty A, Mukherjee D, Mitra S (2019) Development of pedestrian crash prediction model for a developing country using artificial neural network. Int J Inj Contr Saf Promot 26(3):283–293
4. Ali A, Ud-Din S, Saad S, Ammad S, Rasheed K, Ahmad F (2021) Artificial neural network approach to study the effect of driver characteristics on road traffic accidents. In: 2021 international conference on data analytics for business and industry (ICDABI). pp 277–280, IEEE, Sakheer, Bahrain
5. Vishnuvardhan K, Muthukeerthana S, Muthuiswarya S, Ganesh VN, Rajkumar R (2023) Analysis of road traffic fatalities and injuries using artificial neural network: a case study on NH-544. AIP Conf Proc 2690(1)
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