Inference for origin-destination matrices: Estimation, prediction and reconstruction

Transportation Research Part B: Methodological

Volumn 35, Issue 7, 2001, Pages 667-676

  Hazelton, Martin L ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Bayesian statistics; Link flows; Posterior density; Predictive distribution; Trip rates

Indexed keywords

ESTIMATION; STATISTICAL METHODS; TRAFFIC SIGNALS;

ORIGIN DESTINATION MATRIX;

TRANSPORTATION;

MATRIX;

EID: 0035423589     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0191-2615(00)00009-6     Document Type: Article

References (13)

1. The estimation of an origin-destination matrix from traffic counts
2. The estimation of origin-destination matrices by constrained generalized least squares
3. A unified framework for estimating or updating origin/destination matrices from traffic counts
4. Monte Carlo sampling methods using Markov chains and their applications
5. Estimation of O-D matrices from link flows on uncongested networks
6. Estimation of an origin-destination matrix with random link choice proportions: A statistical approach
7. Inferences on trip matrices from observations on link volumes: A Bayesian statistical approach
8. A maximum likelihood model for estimating origin-destination matrices
9. Bayesian inference on network traffic using link count data (with discussion)
10. Validation of the ME2 model for estimating trip matrices from traffic counts
11. The most likely trip matrix estimated from traffic counts
12. Network tomography: Estimating source-destination traffic intensities from link data