抄録
In this paper, we presents some kinds of traffic demand estimation model by observed link flows regarding generation trips only as unknowns, which are formulated by minimizing the sum of square errors between observed and estimated link flows, and investigate the differences in these model properties concerning prediction errors caused by noises in the given and the observed data. This comparative study is done by computer simulations using artificial data. The main results are as follows:(1) The trip distribution model, which gives a best goodness of fit on an existing or earlier OD pattern, must be choosed in order to estimate the OD matrix.(2) If the OD matrix change by the number of generation and attraction trips, we must use the gravity model satisfying two trip end constraints.
