In this paper travellers' reactions to Advanced Traveller Information Systems (ATIS) are analysed. In particular two kinds of information (descriptive and prescriptive) and four levels of reliability have been tested. A web-based tool has been adopted in order to carry out a stated preference experiment for data collection. The presented research continues previous studies of the authors in the field of travellers' compliance with information and travellers' route choices under ATIS. In previous studies both a discrete choice theory approach and a Mamdani-type Fuzzy Inference System (FIS) were tested. Here several FIS approaches are analysed more in detail. Some preliminary analyses, are recalled from previous research work, furthermore collected data have been deeply analysed through the Sugeno FIS-type approach and by Adaptive-Network-Based FIS. The methods are applied to reproduce travellers' behaviour and are compared with each other to find the best approach. (C) 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Program Committee
Modelling risk perception in ATIS context: a comparison of different Fuzzy Logic-based approaches / Di Pace, R.; Marinelli, M.; Bifulco, GENNARO NICOLA; Dell'Orco, M.. - In: PROCEDIA: SOCIAL & BEHAVIORAL SCIENCES. - ISSN 1877-0428. - 54:(2012), pp. 897-906. [10.1016/j.sbspro.2012.09.805]
Modelling risk perception in ATIS context: a comparison of different Fuzzy Logic-based approaches
BIFULCO, GENNARO NICOLA;
2012
Abstract
In this paper travellers' reactions to Advanced Traveller Information Systems (ATIS) are analysed. In particular two kinds of information (descriptive and prescriptive) and four levels of reliability have been tested. A web-based tool has been adopted in order to carry out a stated preference experiment for data collection. The presented research continues previous studies of the authors in the field of travellers' compliance with information and travellers' route choices under ATIS. In previous studies both a discrete choice theory approach and a Mamdani-type Fuzzy Inference System (FIS) were tested. Here several FIS approaches are analysed more in detail. Some preliminary analyses, are recalled from previous research work, furthermore collected data have been deeply analysed through the Sugeno FIS-type approach and by Adaptive-Network-Based FIS. The methods are applied to reproduce travellers' behaviour and are compared with each other to find the best approach. (C) 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Program CommitteeI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
