1997 年 24 巻 2 号 p. 147-160
The disaggregated logit model using random utility theory is most useful for the traffic demand estimation problem. Recent conventional studies of the disaggregated logit model have tried to improve estimation precision by reforming the utility function. Our research followed this method. In particular we considered improvement of estimation precision by combining the uncertainty of the travel time and disaggregated logit model. We applied the original model that reflects the personal attribute of subjective travel time. To put it concretely, we made the assumption that traveler's subjective distribution was affected by experience and made a model that estimated the parameters of subjective distribution(ex. standard deviation). Then, we did computational questionnaire survey in order to collect data for this model that analyzed the formation process of traveler's subjective distribution of travel time. Further we applied these survey data to a utility function of route choice problem, and concluded the model was fitting.