Statistical inference of probabilistic origin-destination demand using day-to-day traffic data

Keyphrases

• Traffic Data 100%
• Origin-destination Demand 100%
• OD Estimation 100%
• Statistical Inference 100%
• Route Choice 50%
• Variance-covariance Matrix 50%
• Lasso Regularization 50%
• Iterative Generalized Least Square 50%
• Travel Cost 25%
• Travellers 25%
• Computational Efficiency 25%
• Network Flow 25%
• Probability Distribution 25%
• Large-scale Networks 25%
• Small Networks 25%
• Transportation Network 25%
• Solution Space 25%
• Variance-covariance 25%
• Lasso Penalty 25%
• Unknown Error 25%
• Large Solutions 25%
• Goods Trade 25%
• Covariance Matrix Estimation 25%
• Day-to-day Variability 25%
• Probabilistic Networks 25%
• Sparse Covariance Matrix 25%
• Link Paths 25%
• Network Studies 25%
• Path Flow 25%
• Least Squares Framework 25%

Mathematics

• Inferential Statistics 100%
• Variance 100%
• Least Absolute Shrinkage and Selection Operator 100%
• Regularization 66%
• Variance Covariance Matrix 66%
• Route Choice 66%
• Generalized Least Squares 66%
• Covariance Matrix 33%
• Solution Space 33%
• Large Solution 33%
• Covariance Matrix Estimation 33%
• Probability Distribution 33%
• Covariance 33%