Search on transportation networks for location-based service

被引:0
|
作者
Jun Feng
Yuelong Zhu
Naoto Mukai
Toyohide Watanabe
机构
[1] Hohai University,College of Computer and Information Engineering
[2] Nagoya University,Graduate School of Information Science
来源
Applied Intelligence | 2007年 / 26卷
关键词
Location-based service; Transportation network modeling; Path search; Continuous nearest neighbor search;
D O I
暂无
中图分类号
学科分类号
摘要
The issue of how to provide location-based service (LBS) attracted many researchers. In this paper, we focus on a typical situation of LBS which is to provide services for users in cars that move in a road network. To provide such kind of services, an integration method for representing transportation information with a road map is proposed. By using our integration method, since the transportation information of road networks is managed under the spatial index structure created for road networks, spatial queries on them can take advantages of the spatial index structure and achieve an efficient process. Moreover, we discuss path search, region search, nearest neighbor search and continuous nearest neighbor search in this paper, which are based on transportation networks with (or without) considering the static spatial objects outside the transportation networks. Using transportation information and the corresponding real road network, the paper offers evaluations by comparing our representation method and query method with those in related works. The results show a good performance of our methods.
引用
下载
收藏
相关论文
共 50 条
  • [1] Search on transportation networks for location-based service
    Feng, Jun
    Zhu, Yuelong
    Mukai, Naoto
    Watanabe, Toyohide
    APPLIED INTELLIGENCE, 2007, 26 (01) : 69 - 79
  • [2] Search on transportation network for location-based service
    Feng, J
    Zhu, YL
    Mukai, N
    Watanabe, T
    INNOVATIONS IN APPLIED ARTIFICIAL INTELLIGENCE, 2005, 3533 : 657 - 666
  • [3] A Secure and Efficient Location-based Service Scheme for Smart Transportation
    Lin, Jiaping
    Niu, Jianwei
    Li, Hui
    Atiquzzaman, Mohammed
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 92 : 694 - 704
  • [4] Exploiting Service Similarity for Privacy in Location-Based Search Queries
    Dewri, Rinku
    Thurimella, Ramakrisha
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2014, 25 (02) : 374 - 383
  • [5] Co-Engaged Location Group Search in Location-Based Social Networks
    Haldar, Nur Al Hasan
    Li, Jianxin
    Akhtar, Naveed
    Jia, Yan
    Mian, Ajmal
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 36 (07) : 2910 - 2926
  • [6] Location-Based Service Provisioning for Next Generation Wireless Networks
    Woo-Jin Choi
    Sirin Tekinay
    International Journal of Wireless Information Networks, 2003, 10 (3) : 127 - 139
  • [7] Computing Node Selection for Location-based Service in NDN Networks
    Kurihara, Yoshiki
    Koizumi, Yuki
    Hasegawa, Toru
    2019 25TH IEEE INTERNATIONAL SYMPOSIUM ON LOCAL AND METROPOLITAN AREA NETWORKS (IEEE LANMAN 2019), 2019,
  • [8] Densely Connected User Community and Location Cluster Search in Location-Based Social Networks
    Kim, Junghoon
    Guo, Tao
    Feng, Kaiyu
    Cong, Gao
    Khan, Arijit
    Choudhury, Farhana M.
    SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, 2020, : 2199 - 2209
  • [9] Mining social networks for local search and location-based recommender systems
    Fabio Gasparetti
    Damianos Gavalas
    Sergio Ilarri
    Francesco Ricci
    Zhiwen Yu
    Personal and Ubiquitous Computing, 2019, 23 : 179 - 180
  • [10] Mining social networks for local search and location-based recommender systems
    Gasparetti, Fabio
    Gavalas, Damianos
    Ilarri, Sergio
    Ricci, Francesco
    Yu, Zhiwen
    PERSONAL AND UBIQUITOUS COMPUTING, 2019, 23 (02) : 179 - 180