Building sparse models for traffic flow prediction: an empirical comparison between statistical heuristics and geometric heuristics for Bayesian network approaches

Trend Modeling for Traffic Time Series Analysis: An Integrated Study

(2015) Li Li et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Robust causal dependence mining in big data network and its application to traffic flow predictions

(2015) Li Li et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Stochastic Volatility Modeling Approach that Accounts for Uncertainties in Travel Time Reliability Forecasting

(2015) Yanru Zhang et al.   TRANSPORTATION RESEARCH RECORD

Short-term traffic forecasting: Where we are and where we’re going

(2014) Eleni I. Vlahogianni et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Comparison of Detrending Models and Multi-Regime Models for Traffic Flow Prediction

(2014) Zhiheng Li et al.   IEEE Intelligent Transportation Systems Magazine

Fuzzy-Entropy Neural Network Freeway Incident Duration Modeling with Single and Competing Uncertainties

(2013) Eleni I. Vlahogianni et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Development of Recurrent Neural Network Considering Temporal-Spatial Input Dynamics for Freeway Travel Time Modeling

(2013) Xiaosi Zeng et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Freeway Travel Time Prediction Using Takagi-Sugeno-Kang Fuzzy Neural Network

(2013) Yunlong Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Missing traffic data: comparison of imputation methods

(2013) Yuebiao Li et al.   IET Intelligent Transport Systems

Efficient missing data imputing for traffic flow by considering temporal and spatial dependence

(2013) Li Li et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model

(2013) Yanru Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Real-time road traffic forecasting using regime-switching space-time models and adaptive LASSO

(2012) Yiannis Kamarianakis et al.   APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY

Distributed Modeling in a MapReduce Framework for Data-Driven Traffic Flow Forecasting

(2012) Cheng Chen et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Distributed maximum likelihood estimation for flow and speed density prediction in distributed traffic detectors with Gaussian mixture model assumption

(2012) A. Ramezani et al.   IET Intelligent Transport Systems

Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks

(2012) Shiliang Sun et al.   JOURNAL OF TRANSPORTATION ENGINEERING

The retrieval of intra-day trend and its influence on traffic prediction

(2012) Chenyi Chen et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Statistical methods versus neural networks in transportation research: Differences, similarities and some insights

(2010) M.G. Karlaftis et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Real-time road traffic prediction with spatio-temporal correlations

(2010) Wanli Min et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach

(2009) Li Qu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Fuzzy Modeling Approach for Combined Forecasting of Urban Traffic Flow

(2008) Antony Stathopoulos et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions

(2008) Manoel Castro-Neto et al.   EXPERT SYSTEMS WITH APPLICATIONS