Intelligent Transportation System User Service Selection and Prioritization

Abstract

Thirty-three intelligent transportation system user services are analyzed for 38 criteria through a hybrid model of the disjunctive satisfying method (DSM), a noncompensatory multicriteria decision-making technique, and a compensatory analytic network process (ANP). The DSM reduces the problem size by excluding inappropriate user services; subsequently, the ANP establishes overall relative preferences for selected user services by considering various inner dependencies, interdependencies, and mutual effects among the elements. The electronic payment, travel demand management, and traffic control user services are proposed as the best alternatives for the problem in a developing country.