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This paper presents a comprehensive study on optimal location queries in road network databases, closing the gap between previous studies and practical applications in road networks. The study covers three important types of optimal location queries, and introduces a unified framework that addresses all three query types efficiently. Extensive experiments on real datasets demonstrate the scalability of the solution in terms of running time and space consumption.
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