Application of Data Fusion for Route Choice Modelling by Route Choice Driving Simulator
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. Diffe
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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 TSs.
1 Introduction The study of travellers’ behaviour in Advanced Travellers Information Systems (ATIS) contexts is a crucial task in order to properly simulate phenomena like compliance with information, route choices in presence of information, etc. M. Dell’Orco (&) M. Marinelli D. I. C. A. T. E. Ch, Technical University of Bari, via Orabona 4, 70125 Bari, Italy e-mail: [email protected] M. Marinelli e-mail: [email protected] R. Di Pace Department of Civil Engineering, University of Salerno, Salerno, Italy e-mail: [email protected] F. Galante Department of Transportation Engineering, University of Naples ‘‘Federico II’’, Naples, Italy e-mail: [email protected]
V. Snášel et al. (eds.), Soft Computing in Industrial Applications, Advances in Intelligent Systems and Computing 223, DOI: 10.1007/978-3-319-00930-8_27, Springer International Publishing Switzerland 2014
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A correct simulation of these phenomena is crucial in appraising ATIS options, as evidenced for instances by [1, 25, 26]. In order to estimate models of the travellers’ behaviour, observation of reactions is needed. The most adopted approach for collecting data is the Stated Preferences (SP) one. Two main types of tools for SP in ATIS contexts are the most popular: driving-simulators (DSs) and travel-simulators (TSs). Both methods are computer-based. DSs are characterised by a greater realism, provided that the respondents are asked to drive in order to implement their travel choices, as it happens in the real world. In TSs, travel choices are entered after having received a description of travel alternatives and of associated characteristics, without any driving. TSs compensate some lack of realism with a minor cost and with less burden for the respondents, thus allowing for many more trials by the same respondent. In most of the cases data have been collected by using TSs, as for instance in [2, 5, 11, 12, 18, 24] only a limited number of studies have been carried out by adopting DSs (e.g.: [7, 8, 21, 23, 28].) Provided the great effort required in setting up DS experiments and the burden to which both the analysts and the respondents are subject, it is crucial to carry out some pilot study in order to ass
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