SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services
16 references·8 citing·38 second hopsampled
Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services (2018)Hexagon-Based Convolutional Neural Networ…Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach (2017)Understanding ridesplitting b…The Simpler The Better (2017)The Simpler The BetterShort-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Short-term forecasting of pas…Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…Improving Traffic Flow Prediction With Weather Information in Connected Cars: A Deep Learning Approach (2016)Improving Traffic Flow Predic…Economic analysis of ride-sourcing markets (2016)Economic analysis of ride-sou…Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory (2015)Large-Scale Transportation Ne…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Short-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecastin…Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)Deep Architecture for Traffic…Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Short-Term Traffic Flow Forec…Predicting Taxi–Passenger Demand Using Streaming Data (2013)Predicting Taxi–Passenger Dem…Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm (2011)Neural-Network-Based Models f…Multivariate Short-Term Traffic Flow Forecasting Using Time-Series Analysis (2009)Multivariate Short-Term Traff…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform (2022)Deep dispatching: A deep rein…Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction (2020)Temporal Multi-Graph Convolut…Pricing and equilibrium in on-demand ride-pooling markets (2020)Pricing and equilibrium in on…Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network (2020)Predicting origin-destination…Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework (2020)Learning to Delay in Ride-Sou…Ridesourcing systems: A framework and review (2019)Ridesourcing systems: A frame…Optimizing matching time interval and matching radius in on-demand ride-sourcing markets (2019)Optimizing matching time inte…Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends (2019)Deep Learning for Intelligent…Forecasting with artificial neural networks: (1998)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Travel-Time Prediction With Support Vector Regression (2004)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)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)Contributions to the Theory of Games (1952)An analog of the minimax theorem for vector payoffs (1956)Contributions to the theory of games. (1960)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Dynamic prediction of traffic volume through Kalman filtering theory (1984)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)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)Statistical and Econometric Methods for Transportation Data Analysis (2003)Deep learning for short-term traffic flow prediction (2017)Combining kohonen maps with arima time series models to forecast traffic flow (1996)Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting (2007)Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Prediction of human emergency behavior and their mobility following large-scale disaster (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Traffic prediction in a bike-sharing system (2015)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Platform Competition in Two-Sided Markets (2003)The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms (2003)Competition in two-sided markets (2006)Fifty years of the bottleneck model: A bibliometric review and future research directions (2020)Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach (2018)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,503 cited
  • 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
  • 2014Short-term traffic forecasting: Where we are and where we’re going1,248 cited
  • 2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning1,140 cited
  • 2013Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning763 cited
  • 2017Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach748 cited
  • 2013Predicting Taxi–Passenger Demand Using Streaming Data739 cited
  • 2015Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory508 cited
  • 2011Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm433 cited
  • 2016Improving Traffic Flow Prediction With Weather Information in Connected Cars: A Deep Learning Approach376 cited
  • 2016Economic analysis of ride-sourcing markets345 cited
  • 2009

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Multivariate Short-Term Traffic Flow Forecasting Using Time-Series Analysis
290 cited
  • 2017The Simpler The Better275 cited
  • 2017Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach259 cited
  • Cited by

    • 2019Ridesourcing systems: A framework and review549 cited
    • 2019Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends416 cited
    • 2020Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction305 cited
    • 2020Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network239 cited
    • 2020Pricing and equilibrium in on-demand ride-pooling markets236 cited
    • 2019Optimizing matching time interval and matching radius in on-demand ride-sourcing markets195 cited
    • 2020Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework156 cited
    • 2022Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform153 cited