Adaptive hyperparameter optimization for short term traffic flow prediction with spatial temporal correlated raster data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12530-023-09513-0.pdf
Reference36 articles.
1. Afrin T, Yodo N (2020) A survey of road traffic congestion measures towards a sustainable and resilient transportation system. Sustainability 12(11):4660
2. Cai P, Wang Y, Lu G, Chen P, Ding C, Sun J (2016) A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting. Transp Res Part C 62:21–34
3. Cheng G, Peddinti V, Povey D, Manohar V, Khudanpur S, Yan Y (2017) An exploration of dropout with lstms. In: Proc. Interspeech 2017, pp. 1586–1590. https://doi.org/10.21437/Interspeech.2017-129
4. Duo M, Qi Y, Lina G, Xu E (2017) A short-term traffic flow prediction model based on emd and gpso-svm. In: 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), pp. 2554–2558 . IEEE
5. Feng X, Ling X, Zheng H, Chen Z, Xu Y (2018) Adaptive multi-kernel svm with spatial-temporal correlation for short-term traffic flow prediction. IEEE Trans Intell Transp Syst 20(6):2001–2013
Cited by 4 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. MFOA-Bi-LSTM: An optimized bidirectional long short-term memory model for short-term traffic flow prediction;Physica A: Statistical Mechanics and its Applications;2024-01
2. Integrating Healthcare 4.0 and WBAN: efficient redundancy reduction and adaptive packet scheduling using AR-DRL;The Journal of Supercomputing;2023-11-21
3. ISTGCN: Integrated spatio-temporal modeling for traffic prediction using traffic graph convolution network;Applied Intelligence;2023-10-23
4. Accurate and Decentralized Approach for Traffic Flow Prediction Using Federated Learning;2023 27th International Computer Science and Engineering Conference (ICSEC);2023-09-14
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