Research on Continuous Path Guidance Method Based on the City Point of Interest

DOI

10.2991/amcce-15.2015.48How to use a DOI?

Keywords

city points of interest; continuous path guidance method

Abstract

For 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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Danping Wang
AU  - Kunyuan Hu
AU  - Xiaowei Han
PY  - 2015/04
DA  - 2015/04
TI  - Research on Continuous Path Guidance Method Based on the City Point of Interest
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 264
EP  - 269
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.48
DO  - 10.2991/amcce-15.2015.48
ID  - Wang2015/04
ER  -