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- W2353731744 abstract "To overcome the shortcoming that the existing route guidance algorithms can not execute sequenced route search,a new Artificial Searching Swarm Algorithm(ASSA)is developed that can query multi-Point of Interests(POIs)in travel processing.The ASSA can optimize search topological structure of the road-network,which greatly reduces the amount of data access.Thus the optimal path can be presented according to the spatial-time correlation reasoning.Further more,the POI data are categorized based on urban POIs and a method to go through the sequenced POIs under multi-rules is developed.Sensitive experiments were implemented to verify the proposed ASSA.Results show that,compared with NS algorithm,ASSA can improve the computing efficiency by at least 16%,and it can also avoid getting less-than-optimal path.It effectively meets the travelers' sequenced travel demand." @default.
- W2353731744 created "2016-06-24" @default.
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- W2353731744 date "2014-01-01" @default.
- W2353731744 modified "2023-09-27" @default.
- W2353731744 title "Sequenced route search method based on urban point of interest data" @default.
- W2353731744 hasPublicationYear "2014" @default.
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