Promoting Effective Exchanges Between Vehicular Agents in Traffic Through Transportation-Oriented Trust Modeling

In this paper, we focus on the problem of enabling vehicles in mobile vehicular ad-hoc networks (VANETs) to exchange information about traffic and road conditions in a way that makes it possible for each agent to assess the trustworthiness of the reports received. In particular, we develop a multi-faceted trust modeling framework that is designed specifically for VANET contexts, providing for trust modeling that includes reasoning about time and location and about agent roles, as part of the overall processing. We demonstrate the value of our trust modeling framework through simulated traffic environments, clarifying the importance of distinct elements of our multi-faceted model. In addition, we comment on the value of our chosen simulation environment towards future research to support more effective agent exchanges in VANETs.

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