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Short-Term Traffic Speed Forecasting Based on Data Recorded at Irregular Intervals

https://doi.org/10.1109/tits.2012.2203122

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Exponential smoothing for irregular data

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A Study of Hybrid Neural Network Approaches and the Effects of Missing Data on Traffic Forecasting

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Adaptive forecasting of irregular demand processes

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Urban traffic flow prediction using a fuzzy-neural approach

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Comparison of parametric and nonparametric models for traffic flow forecasting

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Forecasting and Stock Control for Intermittent Demands

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Traffic Flow Forecasting: Comparison of Modeling Approaches

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Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results

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Multivariate Traffic Forecasting Technique Using Cell Transmission Model and SARIMA Model

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Maximum Likelihood Fitting of ARMA Models to Time Series With Missing Observations

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Highway travel time accurate measurement and short-term prediction using multiple data sources

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An Aggregation Approach to Short-Term Traffic Flow Prediction

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Travel Time Prediction Using Floating Car Data Applied to Logistics Planning

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Variational Inference for Infinite Mixtures of Gaussian Processes With Applications to Traffic Flow Prediction

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Prediction Intervals to Account for Uncertainties in Travel Time Prediction

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Real-Time Freeway Network Traffic Surveillance: Large-Scale Field-Testing Results in Southern Italy

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Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm

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Real-Time Traffic Flow Forecasting Using Spectral Analysis

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Forecasting Data Published at Irregular Time Intervals Using an Extension of Holt's Method

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Holt-Winters Method with Missing Observations

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Time Series Analysis, Forecasting and Control.

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