Analysis of Railroad Accident Prediction using Zero-truncated Negative Binomial Regression and Artificial Neural Network Model: A Case Study of National Railroad in South Korea
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12205-022-1198-7.pdf
Reference50 articles.
1. Abdelwahab HT, Abdel-Aty MA (2001) Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections. Transportation Research Record 1746:6–13, DOI: https://doi.org/10.3141/1746
2. Austin R, Carson J (2002) An alternative accident prediction model for highway-rail interfaces. Accident Analysis & Prevention 34(1):31–42, DOI: https://doi.org/10.1016/S0001-4575(00)00100-7
3. Cameron AC, Trivedi PK (1998) Regression analysis of count data. Cambridge University Press, Cambridge, United Kingdom
4. Chang L (2005) Analysis of freeway accident frequencies: Negative binomial regression versus artificial neural network. Safety Science 43(8):541–557, DOI: https://doi.org/10.1016/j.ssci.2005.04.004
5. Codur MY, Tortum A (2015) An artificial neural network model for highway accident prediction: A case study of Erzurum, Turkey. PROMET-Traffic & Transportation 27(3):217–225, DOI: https://doi.org/10.7307/ptt.v27i3.1551
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