Abstract
Truck origin-destination (O-D) matrix is necessary for urban goods movement planning and there are not many researches that estimate truck O-D matrix together with passenger car O-D matrix. This study, therefore, proposes a model that estimates multiclass origin-destination (O-D) matrices consisting of passenger car and truck. A genetic algorithm (GA) is implemented to search the optimal multiclass O-D matrices. This study also suggests usingthe average value from running the GA several times because of fluctuation of the results. From a numerical network, the model provides better results than the others, especially when the objective function does not rely on the initial O-D matrices.
