期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2016
卷号：14
期号：2A
页码：69-76
DOI：10.12928/telkomnika.v14i2A.4352
语种：English
出版社：Universitas Ahmad Dahlan
摘要：Aiming at the problem of tourism scenic route planning, this paper studies and analyzes the combined influence of terrain slope and surface properties on vehicle route planning. The “window moving method” is introduced to carry out early slope calculation and trafficability analysis for the terrain, roughness evaluation index is established respectively for wheeled and tracked vehicles and the “preponderant area method” is used to rasterize the surface properties. By setting up the tabu list, the constraint influence of slope and roughness is superposed to reduce the search scope and improve the search efficiency. The evaluation function is constructed to improve the genetic algorithm and combined with Expand list, Open list, Closed list and Path list, route optimization algorithm is designed for considering the constraints of slope and roughness. The simulation results show that the algorithm can quickly and effectively realize the tourism scenic route planning of the real terrain environment.
其他摘要：Aiming at the problem of tourism scenic route planning, this paper studies and analyzes the combined influence of terrain slope and surface properties on vehicle route planning. The “window moving method” is introduced to carry out early slope calculation and trafficability analysis for the terrain, roughness evaluation index is established respectively for wheeled and tracked vehicles and the “preponderant area method” is used to rasterize the surface properties. By setting up the tabu list, the constraint influence of slope and roughness is superposed to reduce the search scope and improve the search efficiency. The evaluation function is constructed to improve the genetic algorithm and combined with Expand list, Open list, Closed list and Path list, route optimization algorithm is designed for considering the constraints of slope and roughness. The simulation results show that the algorithm can quickly and effectively realize the tourism scenic route planning of the real terrain environment.
