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Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends
16 references·6 citing·32 second hopsampled
Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends (2019)Deep Learning for Intelligent Transportat…Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (2019)Spatiotemporal Multi-Graph Co…Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services (2018)Hexagon-Based Convolutional N…Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning (2018)Efficient Large-Scale Fleet M…DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision (2018)DeepTravel: a Neural Network …Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Deep Multi-View Spatial-Tempo…Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Big Data Analytics in Intelli…Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Short-term forecasting of pas…Planning Bike Lanes based on Sharing-Bikes' Trajectories (2017)Planning Bike Lanes based on …Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Learning Traffic as Images: A…Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Diffusion Convolutional Recur…Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting (2017)Deep Learning: A Generic Appr…Artificial Neural Networks Applied to Taxi Destination Prediction (2015)Artificial Neural Networks Ap…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)Deep Architecture for Traffic…Predicting Taxi–Passenger Demand Using Streaming Data (2013)Predicting Taxi–Passenger Dem…Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)Graph Neural Networks for Int…Smart parking systems: comprehensive review based on various aspects (2021)Smart parking systems: compre…Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges (2021)Developing future human-cente…How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey (2020)How to Build a Graph-Based De…Applications of Artificial Intelligence and Machine learning in smart cities (2020)Applications of Artificial In…Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting (2019)Spatial-Temporal Graph Attent…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)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)LSTM network: a deep learning approach for short‐term traffic forecast (2017)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)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)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Big Data: A Survey (2014)A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis (2020)OpenStreetMap: User-Generated Street Maps (2008)Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting (2020)Graph neural network for traffic forecasting: A survey (2022)Current trends in Smart City initiatives: Some stylised facts (2014)Future smart cities: requirements, emerging technologies, applications, challenges, and future aspects (2022)Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends (2023)Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review (2023)Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach (2018)Ridesourcing systems: A framework and review (2019)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting3,639 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
  • 2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction1,442 cited
  • 2018Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction1,248 cited
  • 2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning1,140 cited
  • 2018Big Data Analytics in Intelligent Transportation Systems: A Survey1,128 cited
  • 2019Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting894 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
  • 2018Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning432 cited
  • 2017Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting427 cited
  • 2017Planning Bike Lanes based on Sharing-Bikes' Trajectories203 cited
  • 2018DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision

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180 cited
  • 2015Artificial Neural Networks Applied to Taxi Destination Prediction176 cited
  • 2018Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services172 cited
  • Cited by

    • 2020Applications of Artificial Intelligence and Machine learning in smart cities801 cited
    • 2023Graph Neural Networks for Intelligent Transportation Systems: A Survey397 cited
    • 2021Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges362 cited
    • 2020How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey298 cited
    • 2021Smart parking systems: comprehensive review based on various aspects258 cited
    • 2019Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting199 cited