Modelling route choices is one of the most significant tasks in transportation models. Route choice models under Advanced Traveller Information Systems (ATIS) are often developed and calibrated by using, among other, Stated Preferences (SP) surveys. Different types of SP approaches can be adopted, alternatively based on Travel Simulators (TSs) or Driving Simulators (DSs). Here a pilot study is presented, aimed at setting up an SP-tool based on driving simulator developed at the Technical University of Bari. The obtained results are analysed in order to check the accordance with expectations in particular the results of application of data fusion technique are shown in order to explain how data collected by DSs, can be used to reduce the effect of choice of behaviour in unrealistic scenarios in TSs
Application of Data Fusion for Route Choice Modelling by Route Choice Driving Simulator / Dell’Orco, Mauro; Di Pace, Roberta; Marinelli, Mario; Galante, Francesco (ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING). - In: Soft Computing in Industrial Applications: proceedings of the 17th Online World Conference on Soft Computing in Industrial Applications / [a cura di] Václav Snášel, Pavel Krömer, Mario Köppen, Gerald Schaefer. - STAMPA. - Cham, CH : Springer, 2014. - ISBN 978-3-319-00929-2. - pp. 305-313 [10.1007/978-3-319-00930-8_27]
Application of Data Fusion for Route Choice Modelling by Route Choice Driving Simulator
Mauro Dell’Orco;Mario Marinelli;
2014-01-01
Abstract
Modelling route choices is one of the most significant tasks in transportation models. Route choice models under Advanced Traveller Information Systems (ATIS) are often developed and calibrated by using, among other, Stated Preferences (SP) surveys. Different types of SP approaches can be adopted, alternatively based on Travel Simulators (TSs) or Driving Simulators (DSs). Here a pilot study is presented, aimed at setting up an SP-tool based on driving simulator developed at the Technical University of Bari. The obtained results are analysed in order to check the accordance with expectations in particular the results of application of data fusion technique are shown in order to explain how data collected by DSs, can be used to reduce the effect of choice of behaviour in unrealistic scenarios in TSsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
