We verified that the geometric factors such as road width, the number of lanes, and the size of intersection have a significant impact on route choice behavior of freight trucks. We estimated parameters of a route choice model, where the explanatory variables are the number of lanes and the size of intersection, by using Maximum Overlapping Model, which is designed to determine parameters so as to maximize overlapped length between estimated passage and actual passage of freight trucks on the general road networks. As a result, we successfully demonstrated that using the size of intersection as one of the explanatory variables can lead to 1.8 times more accurate estimation than ordinary route choice models, such as “the least travel time model.”
