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An Attention Encoder-Decoder Dual Graph Convolutional Network with Time Series Correlation for Multi-Step Traffic Flow Prediction

Shanchun Zhao, Xu Li, Yajie Zou
2022 Journal of Advanced Transportation  
In this paper, we propose an attentional encoder-decoder dual graph convolution model with time-series correlation (AED-DGCN-TSC) for solving the spatio-temporal sequence prediction problem in the traffic  ...  Then, the gated dual graph convolution recurrent unit uses the graph convolution operation, which combines the ideas of node embedding, and dual graph, as an operation inside the gated recurrent structure  ...  Guo et al. added the attention mechanism module to the spatio-temporal graph convolution to capture dynamic spatio-temporal features in traffic data [31] .  ... 
doi:10.1155/2022/7682274 fatcat:iwh4x2of6jgfxlkb2t6r6buq4a

Multi View Spatial-Temporal Model for Travel Time Estimation [article]

ZiChuan Liu, Zhaoyang Wu, Meng Wang, Rui Zhang
2021 arXiv   pre-print
Specifically, we use graph2vec to model the spatial view, dual-channel temporal module to model the trajectory view, and structural embedding to model the traffic semantics.  ...  Therefore, we propose a Multi-View Spatial-Temporal Model (MVSTM) to capture the dependence of spatial-temporal and trajectory.  ...  In future research, we will consider some novel spatio-temporal map methods and add POI interest nodes to represent travel. Figure 1 : 1 The Architecture of MVSTM.  ... 
arXiv:2109.07402v2 fatcat:mmjbisapezba7d47hlsghsnkba

A Survey on Societal Event Forecasting with Deep Learning [article]

Songgaojun Deng, Yue Ning
2021 arXiv   pre-print
Forecasting such events is of great importance for decision-making and resource allocation.  ...  Then, we summarize data resources, traditional methods, and recent development of deep learning models for these problems.  ...  The first part is spatial-temporal weighted graph (STWG) inference. It results in a graph representation for the spatio-temporal evolution of the data.  ... 
arXiv:2112.06345v1 fatcat:jtdlo67bbbazhj6xea55h6bbqa

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TMM 2021 4220-4231 Learning Dual-Pooling Graph Neural Networks for Few-Shot Video Classi-fication.  ...  Liu, Q., +, TMM 2021 2114-2126 Learning Dual-Pooling Graph Neural Networks for Few-Shot Video Classification.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

Scanning the Issue

Azim Eskandarian
2021 IEEE transactions on intelligent transportation systems (Print)  
To this end, the authors propose an ATFM framework for scrutinizing the stochastic nature of ATS through a chance-constraint-based probabilistic approach.  ...  STNN: A Spatio-Temporal Neural Network for Traffic Predictions Z. He, C.-Y. Chow, and J. -D.  ...  Bi-Directional Dense Traffic Counting Based on Spatio-Temporal Counting Feature and Counting-LSTM Network S. Li, F. Chang, and C.  ... 
doi:10.1109/tits.2021.3128609 fatcat:ntohivivqvdspec2nfokzaer6a

Toward Point-of-Interest Recommendation Systems: A Critical Review on Deep-learning Approaches

Sadaf Safavi, Mehrdad Jalali, Mahboobeh Houshmand
2022 Electronics  
In recent years, location-based social networks (LBSNs) that allow members to share their location and provide related services, and point-of-interest (POIs) recommendations which suggest attractive places  ...  to visit, have become noteworthy and useful for users, research areas, industries, and advertising companies.  ...  [164] suggested an Attentive Spatio-Temporal Neural model (ASTEN) in which LSTM is used along with an attention mechanism to recommend POIs.  ... 
doi:10.3390/electronics11131998 fatcat:exuhjcsn3rbw5d3xjsw3aykmhe

Table of Contents

2021 IEEE transactions on multimedia  
Xiang Image/Video/Graphics Analysis and Synthesis AFNet: Temporal Locality-Aware Network With Dual Structure for Accurate and Fast Action Detection . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Xu Image/Video/Graphics Analysis and Synthesis HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tmm.2021.3132246 fatcat:el7u2udtybddrpbl5gxkvfricy

A Survey on Big Data for Trajectory Analytics

Damião Ribeiro de Almeida, Cláudio de Souza Baptista, Fabio Gomes de Andrade, Amilcar Soares
2020 ISPRS International Journal of Geo-Information  
Hence, Spatial Big Data emerges as a data management technology for indexing, storing, and retrieving large volumes of spatio-temporal data.  ...  A Data Warehouse (DW) is one of the premier Big Data analysis and complex query processing infrastructures. Trajectory Data Warehouses (TDW) emerge as a DW dedicated to trajectory data analysis.  ...  DiStRDF is a distributed system that uses RDF to process spatio-temporal queries in a network of heterogeneous databases. In Nikitopoulos et al.'  ... 
doi:10.3390/ijgi9020088 fatcat:bgpfxcx5jngd7cjcj6u4fl4jpi

A Survey on Trajectory Data Management, Analytics, and Learning [article]

Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong
2020 arXiv   pre-print
In this survey, we comprehensively review recent research trends in trajectory data management, ranging from trajectory pre-processing, storage, common trajectory analytic tools, such as querying spatial-only  ...  Recent advances in sensor and mobile devices have enabled an unprecedented increase in the availability and collection of urban trajectory data, thus increasing the demand for more efficient ways to manage  ...  to capture user preferences in addition to the spatio-temporal contexts.  ... 
arXiv:2003.11547v2 fatcat:5gf5h5skqjbrhf67cflygggnky

Modeling and Multiple Perceptions [chapter]

Christine Parent, Stefano Spaccapietra, Esteban Zimányi
2017 Encyclopedia of GIS  
Cross-References Computer Environments for GIS and CAD Movement Patterns in Spatio-Temporal Data Cross-References Geospatial Semantic Web, Interoperability Metadata and Interoperability, Geospatial  ...  Modeling with Pictogrammic Languages OGC's Open Standards for Geospatial Interoperability Vector Data Cross-References Indexing, Query and Velocity-Constrained Privacy Threats in Location-Based Services  ...  More complex temporal and spatio-temporal expressions can be made.  ... 
doi:10.1007/978-3-319-17885-1_805 fatcat:d4t4ossygvcutpfabqn6f3hjcm

MTPR: A Multi-Task Learning Based POI Recommendation Considering Temporal Check-Ins and Geographical Locations

Bin Xia, Yuxuan Bai, Junjie Yin, Qi Li, Lijie Xu
2020 Applied Sciences  
In this paper, we propose a multi-task learning model based POI recommender system which exploits a structure of generative adversarial networks (GAN) simultaneously considering temporal check-ins and  ...  However, due to the differences between LBSNs and conventional recommendation tasks, besides the user feedback, the spatio-temporal information is also significant to precisely capture the user preferences  ...  Inspired by the end-to-end memory networks, Xia et al. proposed an attention-based recurrent neural network, which exploited the external memory for matching the user preference and historical check-in  ... 
doi:10.3390/app10196664 fatcat:7inzkhfcr5afppwphjcvkup5vu

Thiessen Polygons [chapter]

2017 Encyclopedia of GIS  
Temporal geographic information systems (GIS)  ...  Definition Geographic information is inherently spatial and temporal. Geographic applications often demand an integrative approach to examine changes and interactions over space and time.  ...  Cross-References Fastest-Path Computation Graph Theory, Konigsberg Problem Nearest Neighbor Problem Routing Vehicles, Algorithms  ... 
doi:10.1007/978-3-319-17885-1_101387 fatcat:gzp2stwscbcf7eupd3h6eztjri

Moving Objects Analytics: Survey on Future Location & Trajectory Prediction Methods [article]

Harris Georgiou, Sophia Karagiorgou, Yannis Kontoulis, Nikos Pelekis, Petros Petrou, David Scarlatti, Yannis Theodoridis
2018 arXiv   pre-print
CCS Concepts: Information systems > Spatial-temporal systems; Information systems > Data analytics; Information systems > Data mining; Computing methodologies > Machine learning Additional Key Words and  ...  This source of information constitutes a rich input for data analytics processes, either offline (e.g. cluster analysis, hot motion discovery) or online (e.g. short-term forecasting of forthcoming positions  ...  queries that include predictive spatio-temporal range, aggregate (number of objects), and k-nn queries, as well as continuous queries.  ... 
arXiv:1807.04639v1 fatcat:lvje57kod5eldaplkl53wbwgti

A Novel Traffic Flow Reduction Method Based on Incomplete Vehicle History Spatio-Temporal Trajectory Data

Bowen Yang, Zunhao Liu, Zhi Cai, Dongze Li, Xing Su, Limin Guo, Zhiming Ding
2022 ISPRS International Journal of Geo-Information  
For this purpose, a novel trajectory data cube model (TDC) is designed to store time, position, and velocity information hierarchically in the trajectory data.  ...  In order to improve the effect of path planning in emergencies, the missing position imputation and velocity restoration in vehicle trajectory provide data support for emergency path planning and analysis  ...  POIs.  ... 
doi:10.3390/ijgi11030209 fatcat:elujinrserd7zpghwrxctkzc5y

Geotagging in multimedia and computer vision—a survey

Jiebo Luo, Dhiraj Joshi, Jie Yu, Andrew Gallagher
2010 Multimedia tools and applications  
The retrieval process involves (i) performing spatio-temporal filtering to get relevant videos, (ii) ranking videos by the overlap of their FOVs with the query region.  ...  The process of querying a POI database given a GPS co-ordinate is known as reverse-geocoding.  ... 
doi:10.1007/s11042-010-0623-y fatcat:esd7subpbjhntpes6quvngtwti
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