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Application of the ARIMA Models to Urban Roadway Travel Time Prediction - A Case Study
1 references·3 citing·23 second hopsampled
Application of the ARIMA Models to Urban Roadway Travel Time Prediction - A Case Study (2006)Application of the ARIMA Models to Urban …Introduction to Time Series and Forecasting (2002)Introduction to Time Series a…Survey on traffic prediction in smart cities (2018)Survey on traffic prediction …Travel time prediction with LSTM neural network (2016)Travel time prediction with L…Dynamic near-term traffic flow prediction: system-oriented approach based on past experiences (2012)Dynamic near-term traffic flo…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Travel-Time Prediction With Support Vector Regression (2004)A distributed spatial–temporal weighted model on MapReduce for short-term traffic flow forecasting (2015)Short-term traffic flow prediction with LSTM recurrent neural network (2017)Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting (2019)Accurate freeway travel time prediction with state-space neural networks under missing data (2005)A gradient boosting method to improve travel time prediction (2015)Learning to Estimate the Travel Time (2018)Multi-output bus travel time prediction with convolutional LSTM neural network (2018)Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction (2020)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Generalized autoregressive conditional heteroskedasticity (1986)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Analysis of Financial Time Series (2006)Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure (2016)The scaling laws of human travel (2006)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting (2021)KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting (2022)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)
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References

  • 2002Introduction to Time Series and Forecasting3,934 cited

Cited by

  • 2016Travel time prediction with LSTM neural network370 cited
  • 2018Survey on traffic prediction in smart cities331 cited
  • 2012Dynamic near-term traffic flow prediction: system-oriented approach based on past experiences226 cited

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