4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Turkey, 19 - 21 July 2022, vol.504, pp.19-26
In order to study the most frequently occurring traffic events, measures have been developed. These measures, known as risk indicators, facilitate the analysis of accidents in order to predict them and to take the necessary precautions before they occur. In this article, we study the risk for the most vulnerable user, the pedestrian. And we focus on fuzzy indicators being more relevant, and closer to reality because the risk is not a discrete event that can be modeled using traditional Boolean logic. A systematic mapping study was conducted in this paper, filtering the research works published between 2012 and 2022. The papers under consideration were chosen after extensive research in well-known digital libraries such as PubMed, Scopus, Google Scholar, ArXiv, IEEE Xplore, and the ACM Digital Library. Then we compare the various approaches that have been used. We also investigate the applicability of those fuzzy risk indicators to pedestrians, their reliability and validity, as well as their ability to predict the severity of accidents.