Optic Fibre Deployment in Rural Communities

The proposed computational application uses open data about Mexican rural location in which optic fibre must be deployed. First, download a driving distance graph from open street maps given two geographic coordinates. Then the application computes the shortest distance among all the rural communities to build the network topology (spanning tree). A novelty is that the application prioritises the rural communities to linked to the optic fibre network.
The decision-maker defines the sorting criteria: i) link the most populated community, ii) link the nearest community, or iii) link the community that increases the ratio of covered people to kilometres of optic fibre. The application generated the resulting maps.

本研究提出的计算应用程序以公开的墨西哥乡村地理位置数据为基础，开展光纤部署规划工作。首先，根据给定的两组地理坐标，从开放街道地图（OpenStreetMap）下载行车距离图；随后，该应用程序将计算所有乡村社区间的最短路径，以构建网络拓扑结构（生成树）。本应用的创新之处在于，会对拟接入光纤网络的乡村社区进行优先级排序。
决策制定者可自定义三类排序准则：i）优先连接人口最多的乡村社区；ii）优先连接距离最近的乡村社区；iii）优先连接能够提升覆盖人口与光纤里程比值的乡村社区。最终，该应用程序将生成对应的规划地图。