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Original Articles

Injury severity prediction model for two-wheeler crashes at mid-block road sections

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Pages 328-336 | Received 07 Jan 2020, Accepted 02 Aug 2020, Published online: 18 Aug 2020

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Read on this site (6)

Dajie Zuo, Cheng Qian, Daiquan Xiao, Xuecai Xu & Hui Wang. (2023) Data-driven crash prediction by injury severity using a recurrent neural network model based on Keras framework. International Journal of Injury Control and Safety Promotion 30:4, pages 561-570.
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Reuben Tamakloe, J. Hong, J. Kim & D. Park. (2023) Factors affecting fatal PTW at-fault crash outcome metrics at intersections and non-intersections in South Korea. Journal of Transportation Safety & Security 15:7, pages 681-716.
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Marimuthu Venkadavarahan & Sankaran Marisamynathan. (2022) Estimation of rider’s shifting intention for electric bike adoption: An integrated choice and latent variable approach. Transportation Letters 14:10, pages 1151-1161.
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Akbar Danesh, Mehrdad Ehsani, Fereidoon Moghadas Nejad & Hamzeh Zakeri. (2022) Prediction model of crash severity in imbalanced dataset using data leveling methods and metaheuristic optimization algorithms. International Journal of Crashworthiness 27:6, pages 1869-1882.
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VS Vinayaraj & Vedagiri Perumal. Analyzing the factors affecting the crash severity level at urban roundabouts in non-lane-based heterogeneous traffic. International Journal of Injury Control and Safety Promotion 0:0, pages 1-13.
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Anurag Thombre, Indrajit Ghosh & Amit Agarwal. Examining factors influencing the severity of motorized two-wheeler crashes in Delhi. International Journal of Injury Control and Safety Promotion 0:0, pages 1-14.
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Articles from other publishers (5)

Siddardha Koramati, Arnab Mukherjee, Bandhan Bandhu Majumdar & Arkamitra Kar. (2022) Development of Crash Prediction Model using Artificial Neural Network (ANN): A Case Study of Hyderabad, India. Journal of The Institution of Engineers (India): Series A 104:1, pages 63-80.
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Sarfaraz Ahmed, Vikas Ravekar, Bandhan Bandhu Majumdar & Siddardha Koramati. 2023. Proceedings of the Sixth International Conference of Transportation Research Group of India. Proceedings of the Sixth International Conference of Transportation Research Group of India 197 217 .
Ibrahim Aldhari, Meshal Almoshaogeh, Arshad Jamal, Fawaz Alharbi, Majed Alinizzi & Husnain Haider. (2022) Severity Prediction of Highway Crashes in Saudi Arabia Using Machine Learning Techniques. Applied Sciences 13:1, pages 233.
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Mostafa Amini, Ali Bagheri & Dursun Delen. (2022) Discovering injury severity risk factors in automobile crashes: A hybrid explainable AI framework for decision support. Reliability Engineering & System Safety 226, pages 108720.
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Tianzheng Wei, Tong Zhu & Haoxue Liu. (2022) Risk prediction and factor analysis of rider’s injury severity in passenger car and E-bike accidents based on interpretable machine learning. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, pages 095440702211218.
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