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On-Street and Off-Street Parking Availability Prediction Using Multivariate Spatiotemporal Models
10 references·5 citing·38 second hop
On-Street and Off-Street Parking Availability Prediction Using Multivariate Spatiotemporal Models (2015)On-Street and Off-Street Parking Availabi…Prediction of parking space availability in real time (2012)Prediction of parking space a…Intelligent parking systems (2005)Intelligent parking systemsShort‐term traffic forecasting: Overview of objectives and methods (2004)Short‐term traffic forecastin…A Simple and Effective Method for Predicting Travel Times on Freeways (2004)A Simple and Effective Method…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Comparison of parametric and …Spectral Basis Neural Networks for Real-Time Travel Time Forecasting (1999)Spectral Basis Neural Network…The High Cost of Free Parking (1997)The High Cost of Free ParkingCombining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Dynamic prediction of traffic…Improving parking availability prediction in smart cities with IoT and ensemble-based model (2020)Improving parking availabilit…A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources (2019)A deep learning approach to r…Smart Parking Guidance, Monitoring and Reservations: A Review (2017)Smart Parking Guidance, Monit…A Survey of Smart Parking Solutions (2017)A Survey of Smart Parking Sol…iParker—A New Smart Car-Parking System Based on Dynamic Resource Allocation and Pricing (2016)iParker—A New Smart Car-Parki…Exponential smoothing: The state of the art (1985)Introduction to Time Series and Forecasting (2002)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Nonparametric Regression and Short‐Term Freeway Traffic Forecasting (1991)Online Learning Solutions for Freeway Travel Time Prediction (2008)New Bayesian combination method for short-term traffic flow forecasting (2014)Urban traffic flow forecasting through statistical and neural network bagging ensemble hybrid modeling (2015)Forecasting with artificial neural networks: (1998)Statistical and Econometric Methods for Transportation Data Analysis (2003)Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting (2017)A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)Micromotives and Macrobehavior. (1979)Urban land use planning (1979)The Geography of Urban Transportation (1988)Cruising for parking (2006)Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations (2015)Autonomous vehicles: challenges, opportunities, and future implications for transportation policies (2016)Book Review: Time Series Analysis: Forecasting and Control (1977)Short-term travel time prediction (2003)A review of travel time estimation and forecasting for Advanced Traveller Information Systems (2014)Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps (2017)Time Series Analysis: Forecasting and Control (1977)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Parking, People, and Cities (2005)Intelligent parking lot application using wireless sensor networks (2008)A Cloud-Based Car Parking Middleware for IoT-Based Smart Cities: Design and Implementation (2014)Smart parking in IoT-enabled cities: A survey (2019)Smart technologies for promotion of energy efficiency, utilization of sustainable resources and waste management (2019)A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices (2020)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions (2020)Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network (2020)Graph Neural Network for Traffic Forecasting: The Research Progress (2023)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)
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References

  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 1984Dynamic prediction of traffic volume through Kalman filtering theory1,115 cited
  • 1997The High Cost of Free Parking1,058 cited
  • 2002Comparison of parametric and nonparametric models for traffic flow forecasting1,016 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 2004Short‐term traffic forecasting: Overview of objectives and methods599 cited
  • 2004A Simple and Effective Method for Predicting Travel Times on Freeways331 cited
  • 1999Spectral Basis Neural Networks for Real-Time Travel Time Forecasting237 cited
  • 2005Intelligent parking systems226 cited
  • 2012Prediction of parking space availability in real time188 cited

Cited by

  • 2017A Survey of Smart Parking Solutions572 cited
  • 2019A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources261 cited
  • 2016iParker—A New Smart Car-Parking System Based on Dynamic Resource Allocation and Pricing224 cited
  • 2017Smart Parking Guidance, Monitoring and Reservations: A Review164 cited

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  • 2020Improving parking availability prediction in smart cities with IoT and ensemble-based model157 cited