ABSTRACT

There is extensive literature on the general route choice problem. Piet H. L. Bovy and Stern suggested a general framework which represents the route choice process as synthesizing, through a black box, two sources of inputs: driver characteristics and network attributes. A fuzzy set is a generalization of a crisp set and allows each element to belong to the set with a certain degree of membership. Fuzzy sets can be used to model driver perceptions, and incorporate vague knowledge. The motivating factor behind the modelling approach is that perceptions of network attributes may be inaccurate, erroneous or inexact. The shape of the membership function captures many of the individual characteristics with respect to the way the driver perceives the attributes of the various alternatives, as well as personal characteristics, preferences and familiarity with the system.