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This paper describes a general framework called Hybrid Dynamic Mixed Networks (HDMNs) which are Hybrid Dynamic Bayesian Networks that allow representation of discrete deterministic information in the form of constraints. We propose approximate inference algorithms that integrate and adjust well known algorithmic principles such as Generalized Belief(More)
With the proliferation of wireless communication technologies, inter-vehicle communication (IVC) could potentially be applied to solve ever-worsening transportation problems around the world. In this paper, we study impacts of network vehicular traffic on IVC, apply IVC to route-guidance, and report preliminary field tests. These studies are intended to(More)
This paper describes a method for storing, modeling, and processing an individual's travel history collected with a GPS enabled device. The technique uses a general framework called Hybrid Dynamic Mixed Networks (HDMNs), which are Hybrid Dynamic Bayesian Networks that allow representation of discrete deterministic information in the form of constraints. We(More)
The contents of this report reflect the views of the authors who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views of polices of the State of California. SUMMARY The existing paradigms for vehicular traffic monitoring and control have a strong infrastructure bias—data is(More)
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