基于网络热度的道路景观评价与最美路径推荐

Landscape Evaluation and Most Beautiful Route Planning from Big Website Date

摘要:

基于道路景观搜索量、签到和点赞等网络热度大数据建立道路景观热度综合评估模型，结合景观视域得到道路美丽度，并以距离、时间等为约束条件，设计和实现了最美路径优化算法.最后以武汉市28处道路景观进行实验，并将最美路径算法与传统最短路径算法进行比较，结果表明，在起止点相同情况下，最美路径算法可以在距离（时间）阈值约束范围内找到更美路径，提高出行过程中的愉悦感.

Abstract:

This paper presents a roadside landscapes evaluation model (RLEM) based on big website data about web hotspots, such as web searching data, web checkin data and web voting data. Then, Road beauty degree(RBD) is calculated by the proposed RLEM and the roadside landscapes’ visual ranges along road. Finally, the most beautiful route planning algorithm is designed and realized based on road networks RBD. An experiment was applied in Wuhan (China), where twentyeight landscapes were measured by RLEM, and the road networks RBD were calculated. Comparing between the proposed model and the traditional shortest path model, the results show us that routes planned by the proposed method have higher RBD than the routes planned by the traditional shortest method.