Big Data Algorithms and Applications in Urban Intelligent Transportation Systems

In recent years, with the rapid development of Big Data algorithms, more and more advanced techniques such as 3G wireless transmission, GPS positioning and car-sharing have arisen and brought opportunities and challenges to the innovation and development of Urban Intelligent Transportation Systems. Both academic and industrial sectors of ITS have shown interest in these applications. However, defects still exist in current data collection and require improvement. This paper is intended to provide a comprehensive analysis of the applications of Big Data in ITS, showing diverse fields of those applications, integrating different algorithms and models,analyzing potential problems and putting forward future prospects. By comparing different algorithms and their applications according to relevant research, results can be found that the algorithms discussed are able to help each other with traffic issues. Meanwhile, ITS is becoming increasingly accurate and efficient. In addition, although modern data collection has brought a great deal of convenience and transformation to ITS, there are still quite a few challenges that demand immediate solutions. The results of the study are considered to play a significant role in the promising directions for future research.