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华南理工大学 [11]

山东大学 [10]

清华大学 [9]

北京航空航天大学 [8]

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	Interval prediction of short-term traffic speed with limited data input: Application of fuzzy-grey combined prediction model 期刊论文 Expert Systems with Applications, 2022, 卷号: 187 作者: Song, Zhanguo; Feng, Wei; Liu, Weiwei 收藏 \| 浏览/下载：8/0 \| 提交时间：2022/02/17 Decision support systems Forecasting Intelligent vehicle highway systems Speed Street traffic control System theory Autoregressive modelling Autoregressive prediction model Fuzzy information granulation Gray autoregressive prediction model Intelligent transportation systems Interval prediction Limited data Prediction interval Short-term traffic speed Traffic speed
	A hybrid approach for short-term traffic flow forecasting based on similarity identification 期刊论文 MODERN PHYSICS LETTERS B, 2021, 卷号: 35, 期号: 13 作者: Li, Wenjun; Chen, Si; Wang, Xiaoquan; Yin, Chaoying; Huang, Zhaoguo 收藏 \| 浏览/下载：6/0 \| 提交时间：2021/06/03 Traffic flow short-term traffic forecasting similarity identification time constrain window entropy-based gray relation analysis rank-exponent method
	Dynamic Global-Local Spatial-Temporal Network for Traffic Speed Prediction 期刊论文 IEEE ACCESS, 2020, 卷号: 8 作者: Feng, Dong; Wu, Zhongcheng; Zhang, Jun; Wu, Ziheng 收藏 \| 浏览/下载：8/0 \| 提交时间：2020/12/28 Correlation Convolution Feature extraction Predictive models Forecasting Market research Data models Traffic speed prediction spatial-temporal network graph convolutional network dynamic graph learning
	Short-Term Traffic Flow Prediction Based on LSTM-XGBoost Combination Model 期刊论文 CMES - Computer Modeling in Engineering and Sciences, 2020, 卷号: 125, 期号: 1, 页码: 95-109 作者: Zhang XJ(张玺君) 收藏 \| 浏览/下载：11/0 \| 提交时间：2020/11/13 Forecasting Long short-term memory Predictive analytics Roads and streets Time series
	A novel residual graph convolution deep learning model for short-term network-based traffic forecasting 期刊论文 INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 卷号: 34, 期号: 5, 页码: 27 作者: Zhang, Yang; Cheng, Tao; Ren, Yibin; Xie, Kun 收藏 \| 浏览/下载：16/0 \| 提交时间：2020/03/20 Short-term traffic forecasting spatial-temporal dependency network topology graph convolution residual long short-term memory
	Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2019, 卷号: 180, 页码: 116-132 作者: Cheng, Shifen; Lu, Feng; Peng, Peng; Wu, Sheng 收藏 \| 浏览/下载：104/0 \| 提交时间：2019/09/24 Multi-view learning Multi-task learning Particle swarm optimization Spatiotemporal dependency Spatiotemporal heterogeneity Task relationship learning
	Prediction of a multi-mode coupling model based on traffic flow tensor data 期刊论文 Journal of Intelligent and Fuzzy Systems, 2019, 卷号: 36, 期号: 2, 页码: 1691-1703 作者: Duan, Huiming; Liu, Yongzhi; Wang, Di; He, Leiyuhang; Xiao, Xinping* 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/04 Grey model High-dimensional tensor Multi-mode traffic flow data Short-term traffic flow forecasting
	Lane-based short-term urban traffic parameters forecasting using multivariate artificial neural network and locally weighted regression models: A genetic approach 期刊论文 CANADIAN JOURNAL OF CIVIL ENGINEERING, 2019, 卷号: 46, 期号: 5, 页码: 371-380 作者: Raza, Asif*; Zhong, Ming 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/04 short-term forecasting genetic algorithms artificial neural network locally weighted regression aggregate model disaggregate model
	Improved Social Emotion Optimization Algorithm for Short-Term Traffic Flow Forecasting Based on Back-Propagation Neural Network 期刊论文 Journal of Shanghai Jiaotong University (Science), 2019, 卷号: Vol.24 No.2, 页码: 209-219 作者: Zhang, J.; Zhao, S.; Wang, Y.; Zhu, X. 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/11/21 A back-propagation neural network (BPNN) Metropolis rule short-term traffic flow forecasting social emotion optimization algorithm (SEOA) TP 183 urban traffic
	A parallel spatiotemporal deep learning network for highway traffic flow forecasting 期刊论文 INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2019, 卷号: 15 作者: Han, Dongxiao[1]; Chen, Juan[2]; Sun, Jian[3] 收藏 \| 浏览/下载：17/0 \| 提交时间：2019/04/22 Traffic flow forecasting spatiotemporal feature deep learning convolutional neural network long short-term memory

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