Traffic flow prediction models – A review of deep learning techniques
Author:
Affiliation:
1. Manipal Academy of Higher Education, Manipal Institute of Technology, Manipal, India
2. Modelling and Visualisation, Ricardo Plc, United Kingdom
Funder
No financial assistance received from any agency to carry out the work mentioned
Publisher
Informa UK Limited
Subject
General Engineering,General Chemical Engineering,General Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/23311916.2021.2010510
Reference83 articles.
1. An integrated feature learning approach using deep learning for travel time prediction
2. VANET routing protocol for V2V implementation: A suitable solution for developing countries
3. Missing data imputation for traffic flow speed using spatio-temporal cokriging
4. Exploiting the past and the future in protein secondary structure prediction
Cited by 75 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. Learning-based hierarchical cooperative eco-driving with traffic flow prediction for hybrid electric vehicles;Energy Conversion and Management;2024-12
2. Driven traffic flow prediction in smart cities using hunter-prey optimization with hybrid deep learning models;Alexandria Engineering Journal;2024-11
3. Predicting air quality using a multi-scale spatiotemporal graph attention network;Information Sciences;2024-10
4. In-Depth Insights into the Application of Recurrent Neural Networks (RNNs) in Traffic Prediction: A Comprehensive Review;Algorithms;2024-09-06
5. Analysing Urban Traffic Patterns with Neural Networks and COVID-19 Response Data;Applied Sciences;2024-09-03
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