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Urban big data fusion based on deep learning: An overview
16 references·1 citing·42 second hop
Urban big data fusion based on deep learning: An overview (2019)Urban big data fusion based on deep learn…Multi-source heterogeneous data fusion (2018)Multi-source heterogeneous da…Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Deep Multi-View Spatial-Tempo…The Simpler The Better (2017)The Simpler The BetterDeep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…Latent Space Model for Road Networks to Predict Time-Varying Traffic (2016)Latent Space Model for Road N…DNN-based prediction model for spatio-temporal data (2016)DNN-based prediction model fo…Social big data: Recent achievements and new challenges (2015)Social big data: Recent achie…Methodologies for Cross-Domain Data Fusion: An Overview (2015)Methodologies for Cross-Domai…Urban Computing (2014)Urban ComputingDiscovering Urban Functional Zones Using Latent Activity Trajectories (2014)Discovering Urban Functional …Predicting Taxi–Passenger Demand Using Streaming Data (2013)Predicting Taxi–Passenger Dem…Discovering and Profiling Overlapping Communities in Location-Based Social Networks (2013)Discovering and Profiling Ove…Crowd sensing of traffic anomalies based on human mobility and social media (2013)Crowd sensing of traffic anom…Prediction of urban human mobility using large-scale taxi traces and its applications (2012)Prediction of urban human mob…Urban computing with taxicabs (2011)Urban computing with taxicabsAlleviating urban traffic congestion (2006)Alleviating urban traffic con…Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax (2022)Measuring residents’ percepti…Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Data fusion (2009)Discovering regions of different functions in a city using human mobility and POIs (2012)Machine Learning With Big Data: Challenges and Approaches (2017)Predicting citywide crowd flows using deep spatio-temporal residual networks (2018)Time series forecasting using a hybrid ARIMA and neural network model (2003)Automatic Time Series Forecasting: The forecast Package for R (2008)Understanding individual human mobility patterns (2008)Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Ridesourcing systems: A framework and review (2019)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Map projections: A working manual (1987)Driving with knowledge from the physical world (2011)Classifying urban land use by integrating remote sensing and social media data (2017)Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach (2021)Inferring the Root Cause in Road Traffic Anomalies (2012)Big Data for Social Transportation (2015)Reality mining: sensing complex social systems (2005)Bridging the gap between physical location and online social networks (2010)Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning (2019)OpenStreetMap: User-Generated Street Maps (2008)Bikesharing in Europe, the Americas, and Asia (2010)On the social shaping dimensions of smart sustainable cities: A study in science, technology, and society (2016)A foundational framework for smart sustainable city development: Theoretical, disciplinary, and discursive dimensions and their synergies (2017)Smart sustainable cities of the future: An extensive interdisciplinary literature review (2017)Users of the world, unite! The challenges and opportunities of Social Media (2009)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Data mining with big data (2013)The role of big data in smart city (2016)A survey on deep learning for big data (2017)Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Prediction of human emergency behavior and their mobility following large-scale disaster (2014)Traffic prediction in a bike-sharing system (2015)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)A hybrid deep learning based traffic flow prediction method and its understanding (2018)
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References

  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 2014Urban Computing1,564 cited
  • 2018Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction1,248 cited
  • 2015Social big data: Recent achievements and new challenges849 cited
  • 2013Predicting Taxi–Passenger Demand Using Streaming Data739 cited
  • 2016DNN-based prediction model for spatio-temporal data739 cited
  • 2011Urban computing with taxicabs533 cited
  • 2015Methodologies for Cross-Domain Data Fusion: An Overview454 cited
  • 2014Discovering Urban Functional Zones Using Latent Activity Trajectories413 cited
  • 2013Crowd sensing of traffic anomalies based on human mobility and social media379 cited
  • 2012Prediction of urban human mobility using large-scale taxi traces and its applications369 cited
  • 2017The Simpler The Better275 cited
  • 2016Latent Space Model for Road Networks to Predict Time-Varying Traffic179 cited
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  • 2018Multi-source heterogeneous data fusion126 cited
  • 2013Discovering and Profiling Overlapping Communities in Location-Based Social Networks

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  • 2022Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax255 cited