TY - GEN
T1 - A self-guide mobile system based on multi-objects ants colony algorithm
AU - Wang, Liping
AU - Wang, Changbo
AU - Shi, Ling
AU - Wu, Chunyuan
AU - Dong, Jun
PY - 2009
Y1 - 2009
N2 - Traditional travel information such as books, outlets and so on are popular, but they are not convenient, and part of them is out of time. Self guide mobile system provides new travel information gaining method. It eliminates language obstacle, presents abundant, real-time and position-oriented travel information automatically. Moreover it integrates Geography Information System, Multimedia, Global Position System and Human-machine Interface technologies. The paper presents "self guide" concept. It focuses on scenic spots routing based on ant-colony algorithm, including the GIS data preparation for algorithm, the improvement of algorithm for recommend route and the application of algorithm to self-guide path in GIS. The ant colony algorithm is behavior-based and adaptive. Lots of researches have shown that it has a good ability for some application. We evaluated the algorithm with the practical scenic spot and found that the recommended route of single destination or multi destinations can be achieved.
AB - Traditional travel information such as books, outlets and so on are popular, but they are not convenient, and part of them is out of time. Self guide mobile system provides new travel information gaining method. It eliminates language obstacle, presents abundant, real-time and position-oriented travel information automatically. Moreover it integrates Geography Information System, Multimedia, Global Position System and Human-machine Interface technologies. The paper presents "self guide" concept. It focuses on scenic spots routing based on ant-colony algorithm, including the GIS data preparation for algorithm, the improvement of algorithm for recommend route and the application of algorithm to self-guide path in GIS. The ant colony algorithm is behavior-based and adaptive. Lots of researches have shown that it has a good ability for some application. We evaluated the algorithm with the practical scenic spot and found that the recommended route of single destination or multi destinations can be achieved.
KW - Ant colony algorithm
KW - Human-machine interface
KW - Routing
KW - Self-guide
UR - https://www.scopus.com/pages/publications/77949644515
U2 - 10.1109/ICICISYS.2009.5358109
DO - 10.1109/ICICISYS.2009.5358109
M3 - 会议稿件
AN - SCOPUS:77949644515
SN - 9781424447541
T3 - Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
SP - 594
EP - 597
BT - Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
T2 - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Y2 - 20 November 2009 through 22 November 2009
ER -