Real-Time Distributed System for Pedestrian Assistance Using Fuzzy Logic: Application and Results

Year after year, traffic accident fatalities continue to grow, with the probability of such accidents increasing to the point where they are nearly unavoidable. And studies have established that traffic accidents are strongly associated with pedestrian psychology, indicating that they are no longer the outcome of randomness nor cannot be prevented. A set of indicator variables is used to model pedestrians' exposure to risks. The method appears to have potential since it enables the application of intuitive approaches based on fuzzy set theory to pedestrian behavior. In this paper, we provide preliminary findings of a real-time distributed solution for pedestrian navigation assistance, as well as fuzzy indications of pedestrian exposure to a traffic accident. The opportunity for the adoption of an existing system architecture, which was built as part of our previous work.