{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T04:16:19Z","timestamp":1729224979492,"version":"3.27.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T00:00:00Z","timestamp":1726704000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T00:00:00Z","timestamp":1726704000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,19]]},"DOI":"10.1109\/acit62333.2024.10712610","type":"proceedings-article","created":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T17:51:15Z","timestamp":1729101075000},"page":"802-808","source":"Crossref","is-referenced-by-count":0,"title":["Traffic Flow Prediction Model Based on Gated Temporal Attention and Down-Sampling Convolutional Network"],"prefix":"10.1109","volume":"24","author":[{"given":"Zuhua","family":"Li","sequence":"first","affiliation":[{"name":"Hubei University of Technology,School of Computer and Science,Wuhan,China,430070"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siwei","family":"Wei","sequence":"additional","affiliation":[{"name":"CCCC Second Highway Consultants Co., Ltd,Wuhan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zexi","family":"Chen","sequence":"additional","affiliation":[{"name":"Xiaomi Technology Consultants Co., Ltd,Wuhan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Yu","sequence":"additional","affiliation":[{"name":"Hubei University of Technology,School of Economics and Management,Wuhan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Beier","family":"Luo","sequence":"additional","affiliation":[{"name":"Wuhan Business University,School of Accountancy,Wuhan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haibo","family":"Wang","sequence":"additional","affiliation":[{"name":"Hubei University of Technology,School of Economics and Management,Wuhan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction","author":"Liu","year":"2021","journal-title":"arXiv (Cornell University)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301922"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref4","article-title":"Multi-Head Attention: Collaborate Instead of Concatenate","author":"Cordonnier","year":"2021","journal-title":"arXiv.org"},{"key":"ref5","article-title":"Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting","author":"Li","year":"2017","journal-title":"arXiv (Cornell University)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16542"},{"key":"ref7","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-01234-2_1","article-title":"CBAM: Convolutional Block Attention Module","author":"Woo","year":"2018"},{"key":"ref8","article-title":"Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions","author":"Liu","year":"2021","journal-title":"arXiv.org"},{"issue":"21","key":"ref9","doi-asserted-by":"crossref","first-page":"16453","DOI":"10.1007\/s00500-020-04954-0","article-title":"Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station","volume":"24","author":"Hewage","year":"2020","journal-title":"Soft Computing"},{"issue":"11","key":"ref10","doi-asserted-by":"crossref","first-page":"5731","DOI":"10.3390\/app12115731","article-title":"Multivariate Time Series Deep Spatiotemporal Forecasting with Graph Neural Network","volume":"12","author":"He","year":"2022","journal-title":"Applied Sciences"},{"key":"ref11","article-title":"Categorical Reparameterization with Gumbel-Softmax","author":"Jang","year":"2016","journal-title":"arXiv (Cornell University)"},{"key":"ref12","article-title":"Attention Is All You Need","author":"Vaswani","year":"2017","journal-title":"arXiv.org"},{"issue":"1","key":"ref13","doi-asserted-by":"crossref","first-page":"96","DOI":"10.3141\/1748-12","article-title":"Freeway Performance Measurement System: Mining Loop Detector Data","volume":"1748","author":"Chen","year":"2001","journal-title":"Transportation Research Record: Journal of the Transportation Research Board"},{"key":"ref14","article-title":"Ranger21: a synergistic deep learning optimizer","author":"Wright","year":"2021","journal-title":"arXiv (Cornell University)"},{"issue":"2","key":"ref15","doi-asserted-by":"crossref","first-page":"04018011","DOI":"10.1061\/(ASCE)UP.1943-5444.0000443","article-title":"Daily Bicycle Traffic Volume Estimation: Comparison of Historical Average and Count Models","volume":"144","author":"El Esawey","year":"2018","journal-title":"Journal of Urban Planning and Development"},{"issue":"1","key":"ref16","article-title":"Integrating Granger Causality and Vector Auto-Regression for Traffic Prediction of Large-Scale WLANs","volume":"10","author":"Lu","year":"2016","journal-title":"KSII Transactions on Internet and Information Systems"},{"key":"ref17","first-page":"3634","article-title":"Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting","volume-title":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","author":"Yu"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.neucom.2021.03.024","article-title":"AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction","volume":"445","author":"Zhou","year":"2021","journal-title":"Neurocomputing"},{"key":"ref19","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/N18-2074","article-title":"Self-Attention with Relative Position Representations","author":"Shaw","year":"2018"},{"issue":"01","key":"ref20","first-page":"914","article-title":"Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for SpatialTemporal Network Data Forecasting","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"34","author":"Song"},{"key":"ref21","article-title":"Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting","author":"Bai","year":"2020","journal-title":"arXiv (Cornell University)"},{"key":"ref22","article-title":"SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction","author":"Liu","year":"2021","journal-title":"arXiv (Cornell University)"},{"key":"ref23","article-title":"Incrementally Improving Graph WaveNet Performance on Traffic Prediction","author":"Shleifer","year":"2019","journal-title":"arXiv (Cornell University)"}],"event":{"name":"2024 14th International Conference on Advanced Computer Information Technologies (ACIT)","start":{"date-parts":[[2024,9,19]]},"location":"Ceske Budejovice, Czech Republic","end":{"date-parts":[[2024,9,21]]}},"container-title":["2024 14th International Conference on Advanced Computer Information Technologies (ACIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10712446\/10712447\/10712610.pdf?arnumber=10712610","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T05:52:56Z","timestamp":1729144376000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10712610\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,19]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/acit62333.2024.10712610","relation":{},"subject":[],"published":{"date-parts":[[2024,9,19]]}}}