Multi-aspect Analysis In The Field Of Intelligent Transportation System

Since there is a close relationship between intelligent transportation systems and our daily life, there are a large number of related papers appear in this field. And it is one of the most active research fields in recent years. Although many scholars and institutions carried out bibliographic analysis, they only based on simple statistical methods and data mining algorithms to study some aspects they want to know. Therefore, it is necessary to give an in-depth analysis about this field.Our paper presents a framework named ITS-Frame for multi-aspect analysis. (1) Basic bibliographic Analysis. We identify the most productive authors, institutions and countries in the publications of ITS. (2) Impact analysis. In the aspect of paper influence, we rank the papers from citations and NCII index. In the aspect of author influence, we rank authors based on APS, ACS index, and present an AuthorRank algorithm based on PageRank to compare authors'authority. (3) Collaboration Pattern analysis. Based on traditional GN algorithm, we present a collaboration pattern analysis algorithm which can balance edge betweenness and weight. And we use it to construct and analyze three networks, including co-authorship network, keyword co-occurrence network and author co-keyword network. In addition, we analyze the co-authorship network in a time series, and know the change of experts'research direction. (4) Topic analysis. We present a novel algorithm based on LK-means to find the topic of every paper and show the evolution of themes. We use LDA to reduce text dimension and measure the difference between documents.We obtain five experiment dataset in the field of ITS from IEEE and ELSEVIER website using a web crawler. By multi-aspect analysis, we find the changes of some experts' co-authorship networks. We also identify some active keywords, such as GPS, traffic control, road safety. Besides USA, we find that China, European countries and some automobile manufacturers also play significant roles in this field. In conclusion, our work can provide a comprehensive analysis to other researches in ITS fields.