Fuzzy Pretopological Space for Pedestrians’ Risk Perception Modeling

Abstract

The pedestrians' behavior for road crossing risk-taking relies on cognitive abilities, including the ability to focus attention on the traffic environment and to understand the semantics of perceived spatiotemporal objects and to ignore irrelevant attractions and events, so that pedestrians can focus on the spatiotemporal objects that can guarantee a minimum level of risk to increase the assurance of safety. However, young children's perception of the world makes it difficult to find a safe place to cross the road. The objectives of this research were to examine the effect of perceived points of interest on children's ability to identify safe crossing passages. This ability to identify safe or unsafe road crossing sites uses fuzzy topology. We develop a theory of risk perception in a spatial neighborhood, by constructions based on fuzzy neighborhoods and fuzzy pretopologies. Thus, we develop a solution to the problem of navigation in cities by improving safety criteria.