Cars have become an increasingly important and exciting test bed for ubiquitous computing. However, smart car space is still little addressed in the literature to enable high adaptation in a mobile and resource-limited space. This paper focuses on building a context-aware software infrastructure for smart car space in middleware framework. To support context-awareness, we embed capabilities of context modeling and context reasoning. We apply a three-layer manner, including sensor, context atom, and context situation, to efficiently acquire and process contexts. We implement rule-based reasoning in our prototype. We evaluate the performance, and show the proposed middleware is promising.
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