A rank-dependent expected utility model for strategic route choice with stated preference data

A Rank-Dependent Expected Utility Model for Strategic Route Choice with Stated Preference Data

Route choice behavior under real-time traffic information needs to be adequately modeled for the proper analysis of a transportation system in the presence of Advanced Traveler Information Systems (ATIS). This paper focuses on strategic route choice, where a traveler is able to plan ahead for traffic information that s/he will receive in the future. A stated preference (SP) survey was conducted...

Calibration results for rank−dependent expected utility

If its utility function is everywhere increasing and concave, rank−dependent expected utility shares a troubling property with expected utility −− aversion to the same moderate−stakes risk at every wealth level implies an extreme aversion to large−stakes risks. In fact, the problem may be even worse for rank−dependent expected utility, since the moderate−stakes risk need not be actuarially fair...

Utility Assessment under Expected Utility and Rank Dependent Utility Assumptions

Rank-Dependent, Subjective Expected-Utility Representations

Gambles are recursively generated from pure payoffs, events, and other gambles, and a preference order over them is assumed. Weighted average utility representations are studied that are strictly increasing in each payoff and for which the weights depend both on the events underlying the gamble and the preference ranking over the several component payoffs. Basically two results are derived: a c...

Fuzzy Preference Based Route Choice Model

This paper introduces a methodology for route choice based on fuzzy preference relations. The core of the model is FiPV (Fuzzy-individuelle Präferenzen von Verkehrsteilnehmern or fuzzy traveler preferences), that is a choice function based on fuzzy pairwise comparisons for travel decisions. The proposed model may be the first application of fuzzy individual (preference-based) choice in travel d...