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.
|Number of pages||11|
|Journal||Journal of Urban Planning and Development|
|State||Published - 1 Mar 2005|
- GENERALIZED LEAST-SQUARES
- LINK CHOICE PROPORTIONS
- STATISTICAL APPROACH
- TRIP MATRICES