Prediction of road crash attributes using machine learning
Ashwini Baggaashwinibagga@gmail.comDepartment of Mathematics and StatisticsManipal University JaipurJaipur, Rajasthan, IndiaView full profile → , *Sumit SrivastavaCorresponding authorsumit.310879@gmail.comDepartment of Information TechnologyManipal University JaipurJaipur, Rajasthan, IndiaView full profile → , Rajveer Singh Shekhawatrajveersingh.shekhawat@jaipur.manipal.eduSchool of Computing and Information TechnologyManipal University JaipurJaipur, Rajasthan, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 08 Jun 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1704
- Pages:
- 1217–1227
Abstract
Keywords
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References
[1] Global Status Report on Road Safety. World Health Organization (2023). https://www.who.int/publications/i/item/9789240086517
[2] IRF World Road Statistics. International Road Federation, Geneva (2020). https://worldroadstatistics.org/
[3] Global Status Report on Road Safety. World Health Organization (2018). https://www.who.int/publications/i/item/9789241565684
[4] Road Accidents in India, New Delhi: Ministry of Road Transport and Highways, Government of India (2022).
[5] Guide for Road Safety Opportunities and Challenges: Low and Middle Income Countries Country Profiles. World Bank, Washington, DC., USA (2019).
[6] What is the road safety crisis? Save Life Foundation, New Delhi. https://savelifefoundation.org/the-problem/
[7] Camilo Gutierrez – Osorio, Cesar Pedraza. Modern Data Sources and Techniques for Analysis and Forecast of Road Accidents: A Review. Journal of Traffic and Transportation Engineering (English Edition) (2020).
[8] Jonghak Lee, Taekwan Yoon, Sangil Kwon and Jongtae Lee. Model Evaluation for Forecasting Traffic Accident Severity in Rainy Seasons Using Machine Learning Algorithms: Seoul City Study. MDPI Applied Sciences.
[9] Bhatnagar, Vaibhav, et al. “Descriptive analysis of COVID-19 patients in the context of India.” Journal of Interdisciplinary Mathematics 24.3 : 489-504 (2021).
[10] Bagga Ashwini, Srivastava Sumit and Shekhawat Rajveer. Review of the Machine Learning Techniques in Road Crashes. International Conference on Computation, Automation and Knowledge Management, 2020, Dubai. 373-376 (2020).
[11] Ashwini Bagga, Sumit Srivastava and Rajveer Singh Shekhawat. Road Crash Data Analysis and Prediction Using Machine Learning Algorithms, ICCCMLA, Goa (2022).
[12] Hajar Alla, Lahcen Moumoun, and Youssef Balouki. A Multilayer Perceptron Neural Network with Selective-Data Training for Flight Arrival Delay Prediction, Hindawi Scientific Programming. Volume 2021 (2021).
[13] Adel M. Al-Saif, Mahmoud Abdel-Sattar, Abdulwahed M. Aboukarima and Dalia H. Eshra. Application of a multilayer perceptron artificial neural network for identification of peach cultivars based on physical Characteristics, PeerJ.
[14] Iliyasu Adamu, Kabir Ismail Umar , Hillary Watsila , Bello Musa Ibrahim. Multi-Layer Perceptron Network for English Character Recognition. American Journal of Engineering Research, p-ISSN : 2320-0936 (2017).
[15] Singh, Vijander, et al. “Prediction of COVID-19 corona virus pandemic based on time series data using Support Vector Machine.” Journal of Discrete Mathematical Sciences and Cryptography 23.8 : 1583-1597 (2020).
[16] Liefeng Bo, Ling Wang and Licheng Jiao. Multi-layer Perceptron with Embedded Feature Selection with Application in Cancer Classification. Institute of Intelligent Information Processing, Xidian University, Shannxi.
[17] J. Friedman, T. Hastie, R. Tibshirani. Additive logistic regression: a statistical view of boosting, Ann. Stat. 28 337–374 (2000).
[18] J.R. Quinlan, (1986) Induction of decision trees, Mach. Learn. 1 81–106.
[19] A. Booth, E. Gerding, F. McGroarty. Performance-weighted ensembles of random forests for predicting price impact. Quantitative Financ. 15 1823–1835 (2015).
[20] G. Seni, J.F. Elder. Ensemble Methods in Data Mining: Improving Accuracy through Combining Predictions, Morgan & Claypool, San Rafael (2010).
[21] K Nearest Neighbor Algorithm, https://www.geeksforgeeks.org/k-nearest-neighbours/.
[22] Decision Tree, https://www.geeksforgeeks.org/decision-tree/.
[23] What is a Neural Network, https://www.geeksforgeeks.org/neural-networks-a-beginners-guide/.
[24] Gradient Boosting in Machine Learning, https://www.geeksforgeeks.org/ml-gradient-boosting/.




