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Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach
16 references·2 citing·45 second hopsampled
Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach (2018)Combining time-series and textual data fo…Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks (2017)Real-Time Prediction of Taxi …Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…Why so many people? Explaining Nonhabitual Transport Overcrowding With Internet Data (2015)Why so many people? Explainin…Methodologies for Cross-Domain Data Fusion: An Overview (2015)Methodologies for Cross-Domai…Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios (2013)Using Data From the Web to Pr…Predicting Taxi–Passenger Demand Using Streaming Data (2013)Predicting Taxi–Passenger Dem…Exploiting Topic based Twitter Sentiment for Stock Prediction (2013)Exploiting Topic based Twitte…Correlating financial time series with micro-blogging activity (2012)Correlating financial time se…Election Forecasts with Twitter - How 140 Characters Reflect the Political Landscape (2011)Election Forecasts with Twitt…A novel text mining approach to financial time series forecasting (2011)A novel text mining approach …The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events (2010)The Geography of Taste: Analy…Election Forecasts With Twitter (2010)Election Forecasts With Twitt…Stock Price Forecasting by Combining News Mining and Time Series Analysis (2009)Stock Price Forecasting by Co…Multimodal public transport: an analysis of travel time elements and the interconnectivity ratio (2004)Multimodal public transport: …How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey (2020)How to Build a Graph-Based De…Contextualized Spatial–Temporal Network for Taxi Origin-Destination Demand Prediction (2019)Contextualized Spatial–Tempor…Social force model for pedestrian dynamics (1995)Reality mining: sensing complex social systems (2005)Understanding individual human mobility patterns (2008)Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Geo-located Twitter as proxy for global mobility patterns (2014)A survey of results on mobile phone datasets analysis (2015)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)Ridesourcing systems: A framework and review (2019)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Short-term traffic forecasting: Where we are and where we’re going (2014)Using LSTM and GRU neural network methods for traffic flow prediction (2016)LSTM network: a deep learning approach for short‐term traffic forecast (2017)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)The Use of Knowledge in Society (1996)Bad is Stronger than Good (2001)Predicting Stock Market Indicators Through Twitter “I hope it is not as bad as I fear” (2011)Social media and political communication: a social media analytics framework (2012)Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior (2013)American Economic Review (2019)Prediction of human emergency behavior and their mobility following large-scale disaster (2014)Traffic prediction in a bike-sharing system (2015)Quantifying the benefits of vehicle pooling with shareability networks (2014)Deep learning methods in transportation domain: a review (2018)Understanding Private Car Aggregation Effect via Spatio-Temporal Analysis of Trajectory Data (2021)Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction (2020)Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network (2020)Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method (2021)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Urban traffic flow prediction techniques: A review (2022)Graph Neural Network for Traffic Forecasting: The Research Progress (2023)
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References

  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 2015Long short-term memory neural network for traffic speed prediction using remote microwave sensor data2,259 cited
  • 2013Predicting Taxi–Passenger Demand Using Streaming Data739 cited
  • 2010Election Forecasts With Twitter472 cited
  • 2015Methodologies for Cross-Domain Data Fusion: An Overview454 cited
  • 2017Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks311 cited
  • 2010The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events283 cited
  • 2012Correlating financial time series with micro-blogging activity274 cited
  • 2004Multimodal public transport: an analysis of travel time elements and the interconnectivity ratio268 cited
  • 2013Exploiting Topic based Twitter Sentiment for Stock Prediction210 cited
  • 2011A novel text mining approach to financial time series forecasting134 cited
  • 2013Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios109 cited
  • 2011Election Forecasts with Twitter - How 140 Characters Reflect the Political Landscape91 cited
  • 2009

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Stock Price Forecasting by Combining News Mining and Time Series Analysis
48 cited
  • 2015Why so many people? Explaining Nonhabitual Transport Overcrowding With Internet Data38 cited
  • Cited by

    • 2020How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey298 cited
    • 2019Contextualized Spatial–Temporal Network for Taxi Origin-Destination Demand Prediction287 cited