The research on the optimal location of digital signage lacks consideration of constraints related to human geography,deployment costs,and user needs.This paper spatializes the factors influencing digital signage across multiple scales,unifies spatial references of multi-source data,and constructs a sequence of multi-source influencing factors and multi-scale modeling factors for the optimal location of digital signage.Based on this,a multi-constraint maximum coverage model for digital signage is constructed,and an improved genetic algorithm is used to solve the model and to propose optimal location schemes.Taking the area within the sixth ring road of Beijing as an example,the spatial distribution of optimal location is analyzed and summarized.Coverage and runtime are used as evaluation indicators,the maximum audience coverage rate is approximately 0.93 and the maximum coverage number is 185 051 by the proposed method.The results indicate that the model effectively couples multi-source heterogeneous data to optimal location,the algorithm outperforms traditional genetic algorithms and Gurobi software across multiple indicators,and the accuracy and efficiency of digital signage deployment are effectively improved,which provides a reference for the optimal layout of practical public infrastructure.
关键词
数字标牌/广告投放/最大覆盖模型/优化选址/遗传算法
Key words
digital signage/advertising placement/maximum coverage model/optimal location/genetic algorithm
万方数据