References

• 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
• 2003A multivariate state space approach for urban traffic flow modeling and prediction518 cited
• 2003Short-term travel time prediction325 cited
• 2003Dynamic Travel Time Prediction with Real-Time and Historic Data296 cited
• 2003Application of Probe-Vehicle Data for Real-Time Traffic-State Estimation and Short-Term Travel-Time Prediction on a Freeway294 cited
• 2002Freeway Travel Time Prediction with State-Space Neural Networks: Modeling State-Space Dynamics with Recurrent Neural Networks288 cited
• 2001Dynamic Freeway Travel-Time Prediction with Probe Vehicle Data: Link Based Versus Path Based286 cited
• 2000Day-to-Day Travel-Time Trends and Travel-Time Prediction from Loop-Detector Data275 cited
• 2010Travel time data collection handbook274 cited
• 2007A structural state space model for real-time traffic origin–destination demand estimation and prediction in a day-to-day learning framework205 cited
• 2008Online Learning Solutions for Freeway Travel Time Prediction201 cited
• 2009Bayesian committee of neural networks to predict travel times with confidence intervals150 cited
• 2009Memory properties and fractional integration in transportation time-series112 cited

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