Internet of Traffic Surveillance System (IoTSS) With Genetic Algorithm for Optimized Weather-Adaptive Traffic Monitoring

Abstract

Weather variability poses significant challenges to traffic management systems, impacting road safety and transportation efficiency. In response, this chapter explores the integration of genetic algorithms (GAs) and the internet of things (IoT) for weather-adaptive traffic monitoring. GAs, inspired by natural selection, offer a robust optimization framework for evolving traffic management strategies resilient to changing weather conditions. IoT technology provides real-time data collection and analysis capabilities, facilitating adaptive traffic control based on environmental factors. By synergistically combining GAs and IoT, traffic management systems can dynamically adjust parameters such as traffic signal timings, route assignments, and incident management strategies to optimize traffic flow and safety in diverse weather conditions. This chapter reviews the underlying principles and integration of GAs and IoT offers promising solutions for smarter, safer, and more resilient transportation systems in the face of changing weather patterns and urbanization.