EVENT-DRIVEN MICROSERVICES FOR INCIDENT DETECTION AND RESPONSE IN INTELLIGENT TRAFFIC SYSTEM

Abstract

Urbanization has increased the complexity of traffic management systems, necessitating the development of intelligent traffic systems (ITS) capable of handling real-time data and responding to incidents effectively. Event-driven microservices provide a scalable and adaptive architecture for incident detection and response in ITS. This article explores the integration of event-driven microservices into ITS, analyzing existing research, methodologies, and technological advancements. By reviewing recent studies, we demonstrate how microservices enable real-time traffic monitoring, data processing, and efficient incident response. Finally, we identify key challenges and propose future research directions to enhance the robustness and scalability of these systems.