ELECTRIC-VEHICLE CHARGING STATION dataset

Public EV station datasets from OpenChargeMap and PlugShare; cleaned and geocoded for Bengaluru region.Derived internally by merging BBMP ward centroids, traffic intensity datasets (Google Traffic APIs), and population weights.Output of GA\u2013PSO hybrid optimization module (Python MIP solver integrated).Computed internally using Haversine formula between ward centroids (BBMP).Processed from OpenStreetMap & BBMP road layers; network clipped to 70 km urban boundary.BBMP official ward shapefiles & Census 2011 data interpolated for 2025 projections.Computed from ward centroids (demand points) to all candidate sites (from item 5).

本数据集为源自OpenChargeMap与PlugShare的电动汽车（EV）充电站公开数据集，已针对班加罗尔地区完成数据清洗与地理编码。本数据集通过内部整合BBMP选区质心、交通强度数据集（谷歌交通API（Google Traffic APIs））与人口权重数据衍生得到，为GA–PSO混合优化模块的输出结果，该模块集成了Python混合整数规划（MIP）求解器。本数据集内部通过哈弗辛公式（Haversine formula）计算BBMP各选区质心间的距离。数据源自开放街道地图（OpenStreetMap）与BBMP道路图层，经处理后将路网裁剪至70公里的城市边界范围内。本数据集采用BBMP官方选区形状文件与2011年人口普查数据，插值得到2025年的预测数据。本数据集以选区质心作为需求点，计算其与所有候选站点（来自前述第5项数据源）之间的相关参数。