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A Multi-Type Nearest Neighbor (MTNN) query finds the shortest tour for a given query point and different types of spatial features such that only one instance of each feature is visited during the tour. In a real life MTNN query a user normally needs an answer with specific start time and turn-by-turn route for specific period of time on road networks, which requires considerations of spatial and temporal features of the road network when designing algorithms. In this paper, the authors propose a label correcting algorithm that is based on a time aggregated multi-type graph, a special case of a time aggregated encoded path view. This algorithm gives the best start time, a turn-by-turn route and shortest path in terms of least travel time for a given query.
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