Fuzzy logic-based emergency vehicle routing: An IoT system development for smart city applications

摘要

Reducing the travel time of an Emergency Vehicle (EV) is essential to increase the chance of casualty's survival. An efficient vehicle routing solution can avoid instantaneous road blockages such as construction works, strikes, and accidents. This paper proposes an Internet of Things (IoT) network model for an EV routing using fuzzy logic-based data fusion technique. The data fusion process estimates the location-specific congestion by considering sensory data and human inputs from the crowd. Further, an open source routing engine (Open Source Routing Machine (OSRM)) computes the shortest congestion-aware route by responding to live traffic updates in a road network. Moreover, a sensor node has been designed for gathering the emissions and speeds of moving vehicles on the road. An Android application is developed to collect road blockage information from the crowd. Leveraging the Android application service, a driver in the EV is guided towards a medical center through the shortest congestion-aware route.