A Framework for Modeling Trustworthiness of Users in Mobile Vehicular Ad-Hoc Networks and Its Validation through Simulated Traffic Flow

  • John Finnson
  • Jie Zhang
  • Thomas Tran
  • Umar Farooq Minhas
  • Robin Cohen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7379)

Abstract

In this paper, we present an approach for modeling user trustworthiness when traffic information is exchanged between vehicles in transportation environments. Our multi-faceted approach to trust modeling combines priority-based, role-based and experience-based trust, integrated with a majority consensus model influenced by time and location, for effective route planning. The proposed representation for the user model is outlined in detail (integrating ontological and propositional elements) and the algorithm for updating trust values is presented as well. This trust modeling framework is validated in detail through an extensive simulation testbed that models vehicle route planning. We are able to show decreased average path time for vehicles when all facets of our trust model are employed in unison. Included is an interesting confirmation of the value of distinguishing direct and indirect observations of users.

Keywords

Trust Modeling Multiagent System Majority Consensus Travel Decision Trust Component 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • John Finnson
    • 1
  • Jie Zhang
    • 2
  • Thomas Tran
    • 3
  • Umar Farooq Minhas
    • 1
  • Robin Cohen
    • 1
  1. 1.U. WaterlooCanada
  2. 2.Nanyang Tech. U.Singapore
  3. 3.U. OttawaCanada

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