摘要
针对目前旅游地理信息系统存在的个性化程度低、难以满足旅游者动机利益等问题,提出了一种基于兴趣场的按需旅游路线优化算法,以郑州市内代表性旅游景点为研究对象,建立不同年龄段旅游群体兴趣场.通过设计按需旅游路线规划算法实现旅游者或旅游群体对选取特征景点的趋近函数拟合,实现景点间通路与趋近函数的最优逼近,从而规划最优路线.算例证明,设计的算法能够获得比热点旅游地图更优的旅游路线,满足旅游者根据自身兴趣导向智能规划最优路线的要求.
To solve the existing problems of tourism geographic information system such as poor indi viduality and difficulty in meeting tourist＇s motive and benefits, on-demand tourism route optimized algo- rithm based on interest field is put forward. Taking the typical sight spots in Zhengzhou city as research objects,interest fields of tourism groups at different ages are established. By designing tourism route opti- mized algorithm to fit approach function corresponding to selected feature sight spots by tourists or tourist groups, the optimal approach of sight spots routes to approach function is realized so as to design optimal route. The algorithm example proves that the algorithm can get preferable tourism routes than hotspot tourism maps, which can meet the needs of tourists to plan intelligently optimal routes according to their interests.
作者
周啸
梁振东
李少梅
李森
朱艳
王庆宝
ZHOU Xiao;LIANG Zhendong;LI Shaomei;LI Sen;ZHU Yan;WANG Qingbao(Basic Education Department,Information Engineering University,Henan Zhengzhou 450001,China;Institute of Information Engineering,Henan Mechanical and Electrical Vocational College,Henan Zhengzhou 451191,China;Institute of Geospatial Information,Information Engineering University,Henan Zhengzhou 450001,China)
出处
《河北师范大学学报（自然科学版）》
CAS
2018年第6期531-537,共7页
Journal of Hebei Normal University：Natural Science
基金
国家自然科学基金(41571399
41501446
41771487)
关键词
旅游地理信息系统
兴趣场
按需旅游路线
优化算法
tourism geographic information system
interest field
on-demand tourism route
optimizedalgorithm
