A hybrid deep learning based traffic flow prediction method and its understanding
Author:
Funder
NSFC
Publisher
Elsevier BV
Subject
Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering
Reference67 articles.
1. Hybrid approach for short-term traffic state and travel time prediction on highways;Allström;Transport. Res. Rec.: J. Transport. Res. Board,2016
2. Learning deep architectures for ai;Bengio;Found. Trends® Mach. Learn.,2009
3. Cho, K., Van Merriënboer, B., Bahdanau, D., Bengio, Y., 2014. On the Properties of Neural Machine Translation: Encoder-Decoder Approaches. Available from: .
4. Donahue, J., Anne Hendricks, L., Guadarrama, S., Rohrbach, M., Venugopalan, S., Saenko, K., Darrell, T., 2015. Long-term recurrent convolutional networks for visual recognition and description. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2625–2634.
5. Duan, Y., Lv, Y., Wang, F.-Y., 2016. Travel time prediction with lstm neural network. In: Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on. IEEE, pp. 1053–1058.
Cited by 544 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. Multimodal fusion for large-scale traffic prediction with heterogeneous retentive networks;Information Fusion;2025-02
2. Transfer learning-based nonstationary traffic flow prediction using AdaRNN and DCORAL;Expert Systems with Applications;2024-12
3. STFGCN: Spatial–temporal fusion graph convolutional network for traffic prediction;Expert Systems with Applications;2024-12
4. Comparing hundreds of machine learning and discrete choice models for travel demand modeling: An empirical benchmark;Transportation Research Part B: Methodological;2024-12
5. STVANet: A spatio-temporal visual attention framework with large kernel attention mechanism for citywide traffic dynamics prediction;Expert Systems with Applications;2024-11
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