On the use of artificial intelligence techniques in intelligent transportation systems

Due to the progressive increase in the population and the complexity of their mobility needs, the evolution of transportation systems to solve advanced mobility problems has been necessary. Additionally, there are many situations where the application of traditional solutions is not entirely effective, e.g., when the processing of large amounts of data collected from in-vehicle sensors and network devices is required. To overcome these issues, several Artificial Intelligence-based techniques have been applied to different areas related to the transportation environment. In this paper, we present a study of the diverse Artificial Intelligence (AI) techniques which have been implemented to improve Intelligent Transportation Systems (ITS). In particular, we grouped them into three main areas depending on the main field where they were applied: (i) Vehicle control, (ii) Traffic control and prediction, as well as (iii) Road safety and accident prediction. The results of this study reveal that the combination of different AI techniques seems to be very promising, especially to manage and analyze the massive amount of data generated in transportation.