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With the widespread application of location-based service (LBS) technology in the urban Internet of Things, urban transportation has become a research hotspot. One key issue of urban transportation is the nearest neighbor search of moving objects along a road network. The fast-updating operations of moving objects along a road network suppress the query response time of urban services. Thus, a tree-indexed searching method is proposed to quickly find the answers to user-defined queries ondoi:10.1155/2021/2050489 doaj:58e2b55fd6b641cd87a9f44a8eba9943 fatcat:krs4kqpv4rd5nlcnw5vctauzye