The transition of transportation sector from Internal Combustion Engines (ICE) to Electric Vehicles (EVs) has raised many concerns about their users which mainly include locating a suitable charging station for such vehicles. Presently, human intelligence-based methods are being used for the purpose. However, the development of Smart Station Search Assistance (S$^{3}$A) system is an innovative step in this direction as it provides an optimal solution to locate a charging station as per user requirement subject to vehicle constraints. The use of optimization model in S$^{3}$A for recommending an optimal charging station service has been justified. The main challenges which can affect the performance of the system have also been discussed.

中文翻译：

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$ \ text {S} ^ {3} \ text {A} $：电动汽车的智能车站搜索辅助—迈向智慧城市的一步

运输行业从内燃机（ICE）过渡到电动汽车（EV）引起了许多对其用户的担忧，这主要包括为此类车辆找到合适的充电站。当前，基于人类智能的方法正用于此目的。但是，智能站搜索辅助（S $ ^ {3} $ A）系统的开发是朝这个方向迈出的创新一步，因为它提供了根据用户需求根据车辆限制定位充电站的最佳解决方案。已经证明在S $ ^ {3} $ A中使用优化模型来推荐最佳充电站服务是合理的。还讨论了可能影响系统性能的主要挑战。