A performance analysis of prediction techniques for impacting vehicles in hit-and-run road accidents-Reference-Cited by-同舟云学术

A performance analysis of prediction techniques for impacting vehicles in hit-and-run road accidents

Published:2021-07 Issue: Volume:157 Page:106164
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Jha Alok Nikhil,Chatterjee Niladri,Tiwari Geetam

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference27 articles.

1. Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections;Abdel;Transp. Res. Rec.,1997

2. The effect of road and environmental characteristics on pedestrian hit and run accidents in Ghana;Aidoo;Accid. Anal. Prev.,2013

3. Support-vector networks. Mach Learn 20;Cortes,1995

4. Regression models and life-tables;Cox;J. R. Stat. Soc. Ser. B Method.,1972

5. Road traffic accidents in the United Arab Emirates compared to Western countries;Crundall;Adv. Transp. Stud.,2005

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A study on diversion behavior in weaving segments: Individualized traffic conflict prediction and causal mechanism analysis;Accident Analysis & Prevention;2024-09

2. Comprehensive Investigation of Pedestrian Hit-and-Run Crashes: Applying XGBoost and Binary Logistic Regression Model;Transportation Research Record: Journal of the Transportation Research Board;2024-08-09

3. Understanding the role of driver behaviors and performance in safety-critical events: Application of machine learning;Journal of Transportation Safety & Security;2024-07-15

4. Modeling driver injury severity using machine learning algorithms;Canadian Journal of Civil Engineering;2024-05-15

5. Exploring Attribute Associations in Pedestrian-Involved Hit-and-Run Crashes through Cluster Correspondence Analysis;Transportation Research Record: Journal of the Transportation Research Board;2024-05-04