In this paper, we describe a framework used for decision support by intelligent agents in transportation environments: assisting drivers in making effective travel decisions based on traffic reports provided by peers. Operating with a proposed multi-faceted trust model for judging the trustworthiness of the peers and their reports, we introduce an ontological representation that makes possible the kind of detailed trust modeling essential for the decision making. In so doing, we are offering a framework that clarifies the representation and the messaging required to enable the trust-based decision making to be run. We demonstrate how this representation assists in the clarification of knowledge provenance and how it can be employed in real-time. We outline the effectiveness of the framework through an extensive simulation of travel time by vehicles controlled with our specific trust modeling. As such, we are able to demonstrate the importance of our ontological representation in enabling multi-faceted trust modeling, leading to important advice for the field of multiagent trust for decision support.
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