Edge cloud-enabled FIS-based Road Weather Management System for Connected and Autonomous Vehicles

To address the challenges posed by road weather management, there is a growing need for a comprehensive system that can collect, analyze, and disseminate real-time road weather information to connected and autonomous vehicles. Such a system must be able to assess the impact of weather conditions quickly and accurately on-road operations and provide relevant information to road users in real time. Edge cloud technology provides a solution to the challenges of road weather management by enabling real-time data collection, analysis, and dissemination. The purpose of this paper is to propose a comprehensive edge cloud-enabled road weather management system for connected and autonomous vehicles. The proposed system incorporates the use of Message Queuing Telemetry Transport (MQTT), a two-stage Fuzzy Inference System (FIS), and zone-based alerting. We have evaluated the performance of the proposed system through simulation experiments.