Towards a Safe Pedestrian Walkability Under Intuitionistic Fuzzy Environment: A Real-Time Reactive Microservice-Oriented Ecosystem

In order to improve pedestrian safety, it is important to identify suitable routes for walking. This paper presents a real-time reactive system that aims to provide the safest route among all possible routes at a given time, based on intuitionistic fuzzy pedestrian risk modeling. It derives multi criteria decision making to support complex environments using membership and non-membership attributes to generate the intuitionistic fuzzy risk weighting graph based on risk measures. The proposed system involves the pgRouting open-source library that extends the PostGIS/PostgreSQL geospatial database, to provide geospatial routing capabilities. Therefore, we offer a web-location based service allowing pedestrians to enter their destination; then select a route using an intelligent algorithm; providing them with the safest route possible instead of the fastest route. This service will certainly help save lives and reduce pedestrian accidents to some extent.