Estimation of Multiclass Origin-Destination Matrices from Traffic Counts

S.C. Wong · C. O. Tong · K. I. Wong · W.H.K. Lam · Hong Kam Lo · Hai Yang

34 citations0/0 files storedJournal of Urban Planning and Development

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Transportation Planning and Optimization Traffic control and management Traffic Prediction and Management Techniques

Abstract

This paper presents a procedure for the estimation of multiclass origin-destination (O-D) matrices for a highway network. The system consists of a number of vehicle classes. Demand is assigned to the network in a user equilibrium manner. An entropy maximization procedure is proposed to simultaneously estimate the O-D demand matrices of all vehicle classes, which are consistent with the multiclass traffic counts that are observed directly in the network. A case study of the Hong Kong highway network demonstrates the effectiveness of the proposed methodology for a real large-scale network.

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References

1980The most likely trip matrix estimated from traffic counts 1984Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator 1983Inferences on trip matrices from observations on link volumes: A Bayesian statistical approach 1992Estimation of origin-destination matrices from link traffic counts on congested networks 1988Sensitivity Analysis for Equilibrium Network Flow 1987A maximum likelihood model for estimating origin-destination matrices 1998Optimal traffic counting locations for origin–destination matrix estimation 1991The estimation of origin-destination matrices by constrained generalised least squares

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2015Estimation of mean and covariance of stochastic multi-class OD demands from classified traffic counts 2010Estimation of origin-destination matrices for a multimodal public transit network 2015Estimation of Mean and Covariance of Stochastic Multi-class OD Demands from Classified Traffic Counts 2010Estimation of origin–destination matrices for mass event: A case of Macau Grand Prix 2007

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