Abstract: The optimal layout of charging stations plays an important role in the sustainable and high-quality development of the new energy automobile industry. Based on the maximum coverage model, fully considering the problem that the possibility of charging demand coverage was reduced due to the shortening of the service radius of charging stations, the probability of charging station coverage of user charging needs was used as a segmented function of charging service radius. The probability coverage was introduced into the optimal layout of charging stations, and the new random probability coverage model for charging stations was established. Taking Nanan District of Chongqing as a case, by crawling POI data, the genetic algorithm was used to solve the model, and the sensitivity analysis on the comprehensive utility of candidate charging stations was carried out. The research results show that as the service radius reduces, the demand coverage also decreases correspondingly. The charging demand coverage can be effectively improved by building new charging stations.

Key words: traffic engineering; regional site selection layout; probabilistic coverage model; charging station; POI

摘要： 充电站优化布局对新能源汽车产业持续高质量发展具有重要意义。以最大覆盖模型为基础，充分考虑因充电站服务半径缩短而导致充电需求覆盖可能性减小的问题，将充电站覆盖用户需求概率作为充电服务半径的分段函数，把概率覆盖引入到充电站布局优化中，建立了新的充电站随机概率覆盖模型；以重庆市南岸区为例，通过爬取兴趣点（point of interest, POI）数据，采用遗传算法进行求解，并对候选充电站综合效用进行了敏感性分析。研究结果表明：随着服务半径缩短，需求覆盖量也随之减小；通过新建充电站能有效地提高充电需求覆盖量。

关键词: 交通工程；区域选址布局；概率覆盖模型；充电站；POI