Abstract
Transportation engineering is a mature discipline of engineering that provides effective and efficient methods and tools for traffic modeling and capacity planning, however, these artifacts incur limitations in the context of intelligent transportation systems (ITS) because they seldom incorporate cyber issues in their design. Conversely, Computer Science provides many sophisticated solutions for resource management in the cyber world but often overlook physical issues inherent in ITS. Consequently, neither discipline prepares designers and planners to implement a fully functional ITS. Capacity planning solutions for ITS require solutions that can holistically integrate physical artifacts, such as traffic modeling, with cyber artifacts, such as solutions for real-time information dissemination over wireless networks. To address these challenges, this paper presents preliminary ideas on the design of a framework based on the principles of surrogate modeling wherein small-scale, micro-simulations of the ITS cyber physical system are used to develop training points, which in turn are used to train a surrogate model. The surrogate model is subsequently used to make planning decisions for ITS.
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