MAPredRNN: multi-attention predictive RNN for traffic flow prediction by dynamic spatio-temporal data fusion
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangxi Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04494-8.pdf
Reference26 articles.
1. Chen Y, Lv Y, Ye P, Zhu F (2020) Traffic-Condition-Awareness Ensemble learning for traffic flow prediction. IFAC-PapersOnLine 53(5):582–587
2. Do LN, Vu HL, Vo BQ, Liu Z, Phung D (2019) An effective spatial-temporal attention based neural network for traffic flow prediction. Transp Res C Emerg Technol 108:12–28
3. Feng X, Ling X, Zheng H, Chen Z, Xu Y (2019) Adaptive multi-kernel svm with spatial–temporal correlation for short-term traffic flow prediction. IEEE Trans Intell Transp Syst 20(6):2001–2013
4. Guancen Lin Aijing Lin DG (2022) Using support vector regression and k-nearest neighbors for short-term traffic flow prediction based on maximal information coefficient. Inf Sci 608:517–531
5. Guo S, Lin Y, Feng N, Song C, Wan H (2019) Attention based Spatial-Temporal graph convolutional networks for traffic flow forecasting. In: Proceedings of the 33th AAAI conference on artificial intelligence, vol. 33, pp 922–929
Cited by 6 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. In-Depth Insights into the Application of Recurrent Neural Networks (RNNs) in Traffic Prediction: A Comprehensive Review;Algorithms;2024-09-06
2. Local-Global Dynamic Information Fusion Graph Learning for Traffic Flow Prediction;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17
3. Adaptive Graph Convolutional Recurrent Network with Transformer and Whale Optimization Algorithm for Traffic Flow Prediction;Mathematics;2024-05-10
4. A lightweight multi-granularity asymmetric motion mode video frame prediction algorithm;The Visual Computer;2024-03-16
5. Intelligent Transportation System for Sustainable and Efficient Urban Mobility Traffic Flow Prediction Using Optimized Deep Learning Approach;2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV);2024-03-11
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