Modeling the dynamic effect of information on drivers’ choice behavior in the context of an Advanced Traveler Information System

In this paper, the authors present a modeling approach, based on Fuzzy Data Fusion, to reproduce drivers’ dynamic choice behavior under an Advanced Traveler Information System (ATIS). The proposed model uses the Possibility Theory to model Uncertainty embedded in human perception of information. The authors have introduced a time-dependent Possibility Distribution of Information to model the users’ changing perception of travel time also based on current network conditions. Drivers’ choice models are often developed and calibrated by using Stated Preference (SP) surveys, amongst others. In this work, the authors present an experiment to set up an SP-tool based on a driving simulator developed at the Polytechnic University of Bari. The results obtained by the proposed model are analyzed and compared with the driver dynamic behavior observed in the experiment.

• Record URL:
  https://doi.org/10.1016/j.trc.2017.09.019
• Record URL:
  https://www.sciencedirect.com/science/article/pii/S0968090X1730267X
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Dell'Orco, Mauro
  • Marinelli, Mario
• Publication Date: 2017-12

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 168-183
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 85
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Advanced traveler information systems; Behavior; Compliance; Data fusion; Drivers; Driving simulators; Dynamic models; Fuzzy systems; Route choice; Stated preferences
• Geographic Terms: Bari (Italy)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01655688
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 2 2018 10:39AM