Modelling heterogeneous drivers’ responses to route guidance and parking information systems in stochastic and time-dependent networks

Advanced Traveller Information Systems (ATIS) are generally expected to be efficient in reducing travel time and parking search time uncertainties. This article presents a mixed-behaviour multi-class equilibrium model for investigating heterogeneous drivers' responses to route guidance and parking information systems in stochastic and time-dependent networks. The proposed model simultaneously considers the drivers' choices of departure time, route and parking location under network uncertainty. All drivers are differentiated by their values of time and values of reliability, and each class of them is further divided into two groups, equipped and unequipped with ATIS, respectively. Suppose that the equipped drivers can predict travel disutility more accurately than the unequipped ones due to the information services provided by ATIS. The model is formulated as a fixed-point problem and is solved by a heuristic solution algorithm via a combination of the Monte Carlo simulation approach and the method of successive averages. The effectiveness of the modelling framework is illustrated by a numerical example and some new insights about the complex travel and parking behaviour under ATIS are obtained.

• Record URL:
  https://doi.org/10.1080/18128600903568570
• Record URL:
  http://www.tandfonline.com/doi/abs/10.1080/18128600903568570
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/57419946
• Supplemental Notes:
  • Abstract reprinted with permission from Taylor & Francis.
• Authors:
  • Li, Zhi-Chun
  • Huang, Hai-Jun
  • Lam, William
• Publication Date: 2012-3

Language

• English

Media Info

• Media Type: Digital/other
• Features: References;
• Pagination: pp 105-129
• Serial:
  • Transportmetrica
  • Volume: 8
  • Issue Number: 2
  • Publisher: Hong Kong Society for Transportation Studies
  • ISSN: 1812-8602
  • Serial URL: http://www.tandfonline.com/loi/ttra21

Subject/Index Terms

• TRT Terms: Advanced driver information systems; Advanced traveler information systems; Behavior; Drivers; Monte Carlo method; Parking guidance systems; Stochastic processes; Time dependence
• Uncontrolled Terms: Heterogeneous drivers; Method of successive averages
• Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01450485
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 29 2012 9:26AM