Appraising Machine and Deep Learning Techniques for Traffic Conflict Prediction with Class Imbalance
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42421-023-00067-w.pdf
Reference94 articles.
1. Abdel-Aty M, Uddin N, Abdalla F, Pande A, Hsia L (2004) Predicting freeway crashes based on loop detector data using matched case–control logistic regression. Transp Res Board 1897:88–95
2. Abdel-Aty M, Uddin N, Pande A (2005) Split models for predicting multivehicle crashes during high-speed and low-speed operating conditions on freeways. Transp Res Rec J Transp Res Board 1908:51–58
3. Ariannezhad A, Karimpour A, Qin X, Wu Y-J, Salmani Y (2021) Handling imbalanced data for real-time crash prediction: application of boosting and sampling techniques. J Transp Eng Part A Syst 147(3):04020165. https://doi.org/10.1061/JTEPBS.0000499
4. Basso F, Basso LJ, Bravo F, Pezoa R (2018) Real-time crash prediction in an urban expressway using disaggregated data. Transp Res Part C Emerg Technol 86:202–219. https://doi.org/10.1016/j.trc.2017.11.014
5. Basso F, Basso LJ, Pezoa R (2020) The importance of flow composition in real-time crash prediction. Accid Anal Prev 137:105436. https://doi.org/10.1016/j.aap.2020.105436
Cited by 7 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. Real-time rear-end conflict prediction on congested highways sections using trajectory data;Chaos, Solitons & Fractals;2024-10
2. A new spatiotemporal convolutional neural network model for short-term crash prediction;Frontiers of Engineering Management;2024-08-27
3. Improving Performance With Feature Selection, Extraction, and Learning;Integrating Metaheuristics in Computer Vision for Real‐World Optimization Problems;2024-07-31
4. Recognition of aggressive driving behavior under abnormal weather based on Convolutional Neural Network and transfer learning;Traffic Injury Prevention;2024-07-24
5. Real-time sideswipe conflict risk prediction on the expressway;Journal of Transportation Safety & Security;2024-05-31
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