Analysis of traffic accident severity using Decision Rules via Decision Trees
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference37 articles.
1. Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections;Abdel Wahab;Transportation Research Record,2001
2. Analysis of driver injury severity levels at multiple locations using ordered probit models;Abdel-Aty;Journal of Safety Research,2003
3. Building classification trees using the total uncertainty criterion;Abellán;International Journal of Intelligent Systems,2003
4. An ensemble method using credal Decision Trees;Abellán;European Journal of Operational Research,2010
5. Maximising entropy on the nonparametric predictive inference model for multinomial data;Abellán;European Journal of Operational Research,2011
Cited by 167 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. Prioritizing rear-end crash explanatory factors for injury severity level using deep learning and global sensitivity analysis;Expert Systems with Applications;2024-07
2. Learning spatial patterns and temporal dependencies for traffic accident severity prediction: A deep learning approach;Knowledge-Based Systems;2024-02
3. Nonlinear Analysis of the Effects of Socioeconomic, Demographic, and Technological Factors on the Number of Fatal Traffic Accidents;Safety;2024-01-10
4. Feature Engineering and Decision Trees for Predicting High Crash-Risk Locations Using Roadway Indicators;Transportation Research Record: Journal of the Transportation Research Board;2024-01-07
5. Assessment of Large Trucks Crash Severity on a Rural Interstate Road in Wyoming Using Decision Trees and Structural Equation Model;Journal of Transportation Engineering, Part A: Systems;2024-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3