Intelligent Planning of Tourism Scenic Routes Based on Genetic Algorithm in Coal WANBEI Mining Subsidence
Abstract: 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 traffic ability 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, theconstraint 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 combinedwith
Expand list, Open list, Closed list and Path list, route optimization algorithm
is designed forconsidering 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.
Penulis: Li Xiaofang, Song Hui
Journal Code: jptkomputergg160112
