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Research on Continuous Path Guidance Method Based on the City Point of Interest
Wang DP(王丹萍); Hu KY(胡琨元); Han Xiaowei
Department信息服务与智能控制技术研究室
Conference NameInternational Conference on Automation, Mechanical Control and Computational Engineering (AMCCE)
Conference DateApril 24-26, 2015
Conference PlaceJinan, PEOPLES R CHINA
Author of SourceINst Nat Sci & Adv Technol
Source PublicationPROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING
PublisherATLANTIS PRESS
Publication PlaceParis
2015
Pages262-267
Indexed ByCPCI(ISTP)
WOS IDWOS:000359443400047
Contribution Rank1
ISSN1951-6851
ISBN978-94-62520-64-6
KeywordCity Points Of Interest Continuous Path Guidance Method
AbstractFor existing path algorithms cannot achieve more continuous search, we propose the ASSA algorithms to let the travellers access to multiple points of interest in a trip. The ASSA algorithm has optimized the network structure, greatly reducing the amount of data access, and through temporal reasoning based on point of interest associated with regional to get the best travel route. The city POI data are classified based on the information and designed more than a point of interest rules under the access mechanism and its experimental verification. The results showed that: ASSA algorithm can improve computing performance by more than 16% and to avoid the emergence of non-optimal path compared to NS nearest algorithm and it can effectively meet the different points of interest rules under the access needs of travellers.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/16893
Collection信息服务与智能控制技术研究室
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, 110016 Shenyang, China
2.Shenyang University, 110044 Shenyang, China
Recommended Citation
GB/T 7714
Wang DP,Hu KY,Han Xiaowei. Research on Continuous Path Guidance Method Based on the City Point of Interest[C]//INst Nat Sci & Adv Technol. Paris:ATLANTIS PRESS,2015:262-267.
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