Let us consider the simplest case when the user is to choose one of two possible paths between
the origin and destination of movement. Perceived travel time is very often ‘fuzzy’ and can be
treated as a fuzzy set. In other words, when subjectively estimating travel time between two
points, expressions are used such as ‘it takes about 20 minutes from point C to point D’, ‘you'll
get there in about half an hour’, etc. it is assumed that users choose their paths based on a
comparison of the characteristics of alternative paths. Despite the fact that travel time is a
measurable parameter, a driver's notion of travel time when he/she makes the route choice is often
fuzzy. Thus, driver's preference for a route is based on a comparison of two fuzzy numbers. As a
result, his/her certainty of choosing a route is also not crisp. The route choice model can represent
the decision process under two layers of uncertainty: driver's judgment of time and driver's
preference (Teodorovic and Kikuchi, 1990) [41].
Let us consider the simplest case when the user is to choose one of two possible paths betweenthe origin and destination of movement. Perceived travel time is very often ‘fuzzy’ and can betreated as a fuzzy set. In other words, when subjectively estimating travel time between twopoints, expressions are used such as ‘it takes about 20 minutes from point C to point D’, ‘you'llget there in about half an hour’, etc. it is assumed that users choose their paths based on acomparison of the characteristics of alternative paths. Despite the fact that travel time is ameasurable parameter, a driver's notion of travel time when he/she makes the route choice is oftenfuzzy. Thus, driver's preference for a route is based on a comparison of two fuzzy numbers. As aresult, his/her certainty of choosing a route is also not crisp. The route choice model can representthe decision process under two layers of uncertainty: driver's judgment of time and driver'spreference (Teodorovic and Kikuchi, 1990) [41].
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