Data fusion for updating information in modelling drivers’ choice behaviour

Mauro Dell’Orco · Dušan Teodorović

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Transportation Planning and Optimization Multi-Criteria Decision Making Traffic Prediction and Management Techniques

Abstract

In this article, a method for fusing fuzzy data relevant both to drivers’ experience and provided information is presented. Expected travel time is then updated according to the results of fusion. The method takes into account the ‘compatibility’ of data originating from different sources, and provides information about acceptability of results. Influence of uncertainty on drivers’ compliance with provided information is examined in detail, according to uncertainty-based information theory.

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1965Fuzzy sets 1996Fuzzy sets 1992Fuzzy Measure Theory 1991Dynamic network models and driver information systems 1999Dynamics of commuting decision behaviour under advanced traveller information systems 1987Generalized Traffic Equilibrium with Probabilistic Travel Times and Perceptions 1998Toward the design of intelligent traveler information systems 1973Trends in General Systems Theory

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2019A web service based advanced traveller information system for itinerary planning in an uncertain multimodal network

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