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Forecasting Traffic Congestion Using ARIMA Modeling
7 references·1 citing·37 second hop
Forecasting Traffic Congestion Using ARIMA Modeling (2019)Forecasting Traffic Congestion Using ARIM…Road Traffic Forecasting: Recent Advances and New Challenges (2018)Road Traffic Forecasting: Rec…Prediction of Road Traffic Congestion Based on Random Forest (2017)Prediction of Road Traffic Co…Big data challenges in transportation: A case study of traffic volume count from massive Radio Frequency Identification(RFID) data (2017)Big data challenges in transp…Trend Modeling for Traffic Time Series Analysis: An Integrated Study (2015)Trend Modeling for Traffic Ti…Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data (2014)Traffic Flow Prediction for R…Short-time traffic flow prediction with ARIMA-GARCH model (2011)Short-time traffic flow predi…ARIMA forecasting of primary energy demand by fuel in Turkey (2006)ARIMA forecasting of primary …A Review of Traffic Congestion Prediction Using Artificial Intelligence (2021)A Review of Traffic Congestio…Fitting autoregressive models for prediction (1969)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modelling Transport (2011)Survey on traffic prediction in smart cities (2018)Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction (2019)Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning (2019)Book Review: Time Series Analysis: Forecasting and Control (1977)Energy consumption and GDP: causality relationship in G-7 countries and emerging markets (2002)Time series forecasting using a hybrid ARIMA and neural network model (2003)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Modeling and forecasting of Turkey’s energy consumption using socio-economic and demographic variables (2010)Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition (2019)ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)Introduction to Time Series and Forecasting (2002)Big Sensor Data Applications in Urban Environments (2016)Short-term prediction of lane-level traffic speeds: A fusion deep learning model (2019)Wavelet Packet‐Autocorrelation Function Method for Traffic Flow Pattern Analysis (2004)The retrieval of intra-day trend and its influence on traffic prediction (2012)Missing traffic data: comparison of imputation methods (2013)Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning (2019)A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data (2020)Big data and its technical challenges (2014)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Clustering Vehicle Temporal and Spatial Travel Behavior Using License Plate Recognition Data (2017)Short-term traffic forecasting: Where we are and where we’re going (2014)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Online Incremental Machine Learning Platform for Big Data-Driven Smart Traffic Management (2019)Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)A Bayesian Network Approach to Traffic Flow Forecasting (2006)Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory (2015)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Traffic management approaches using machine learning and deep learning techniques: A survey (2024)A deep-learning model for urban traffic flow prediction with traffic events mined from twitter (2020)IoT in Smart Cities: A Survey of Technologies, Practices and Challenges (2021)
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References

  • 2006ARIMA forecasting of primary energy demand by fuel in Turkey626 cited
  • 2018Road Traffic Forecasting: Recent Advances and New Challenges387 cited
  • 2014Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data346 cited
  • 2011Short-time traffic flow prediction with ARIMA-GARCH model214 cited
  • 2017Prediction of Road Traffic Congestion Based on Random Forest208 cited
  • 2015Trend Modeling for Traffic Time Series Analysis: An Integrated Study165 cited
  • 2017Big data challenges in transportation: A case study of traffic volume count from massive Radio Frequency Identification(RFID) data19 cited

Cited by

  • 2021A Review of Traffic Congestion Prediction Using Artificial Intelligence334 cited

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