近年来,由于人类生存与城市演变之间的明确关系,道路网络研究引起了前所未有的压倒性兴趣。当前的研究涵盖了道路网络的许多方面,例如,从视频/图像数据中提取道路特征,路线图概括,交通模拟,最优路线寻找问题的优化,和交通状态预测。然而,将道路网络分析为复杂的图形是一个需要探索的领域。本研究对波尔图进行了比较研究,在葡萄牙,路网路段,主要是Matosinhos,帕拉尼奥斯,和Maia自治市,关于程度分布,聚类系数,中心性措施,连接的组件,k-最近的邻居,和最短的路径。对网络的进一步见解考虑了社区结构,页面排名,和小世界分析。结果表明,Matosinhos网络的信息交换效率为0.8,比Maia和Paranhos网络的信息交换效率高10和12.8%,分别。其他发现是:(1)所研究的道路网非常通达且紧密相连;(2)它们本质上是小世界,任何两条道路之间最短路径的平均长度为29.17个单位,正如在Maia道路网络的场景中发现的那样;(3)所研究网络中最关键的交叉点是AvenidadaBoavista,4100-119波尔图(纬度:41.157944,经度:-8.629105)和诺特汽车公司,波尔图(纬度:41.1687869,经度:-8.6400656)',基于对中心性测度的分析。
Road network studies attracted unprecedented and overwhelming interest in recent years due to the clear relationship between human existence and city evolution. Current studies cover many aspects of a road network, for example, road feature extraction from video/image data, road map generalisation, traffic simulation, optimisation of optimal route finding problems, and traffic state prediction. However, analysing road networks as a complex graph is a field to explore. This study presents comparative studies on the Porto, in Portugal, road network sections, mainly of Matosinhos, Paranhos, and Maia municipalities, regarding degree distributions, clustering coefficients, centrality measures, connected components, k-nearest neighbours, and shortest paths. Further insights into the networks took into account the community structures, page rank, and small-world analysis. The results show that the information exchange efficiency of Matosinhos is 0.8, which is 10 and 12.8% more significant than that of the Maia and Paranhos networks, respectively. Other findings stated are: (1) the studied road networks are very accessible and densely linked; (2) they are small-world in nature, with an average length of the shortest pathways between any two roads of 29.17 units, which as found in the scenario of the Maia road network; and (3) the most critical intersections of the studied network are \'Avenida da Boavista, 4100-119 Porto (latitude: 41.157944, longitude: - 8.629105)\', and \'Autoestrada do Norte, Porto (latitude: 41.1687869, longitude: - 8.6400656)\', based on the analysis of centrality measures.