Analysis and Optimized Secured Traffic Management System For Emergency Vehicles Using IoT

Abstract

Emergency data transmission using ant colony optimization aims to overcome the newlinelimitations of existing routing algorithms by utilizing ant colony optimization (ACO) newlineto ensure efficient and reliable data transmission in emergencies. The proposed newlineapproach considers network detachments and topography variations, enabling faster newlineand more accurate route findings. Additionally, the thesis will present experimental newlineresults and performance evaluations to validate the effectiveness of emergency data newlinetransmission using ant colony optimization in enhancing driver assistance, safety, and newlinetraffic management in vehicular Ad Hoc Networks (VANETs). newlineConsidering these two parameters, the protocol ensures that the ambulance driver can newlinereach the destination quickly while avoiding congested areas. This novel fitness newlinefunction improves the overall efficiency of the protocol and enhances patient care by newlineminimizing delays caused by traffic or network congestion. newlineAn Emergency Communication using fuzzy logic for internet of vehicle things protocol newlineaims to improve emergency communications in VANETs using fuzzy logic and ant newlinecolony optimization techniques. Combining these two approaches allows the protocol newlineto determine the most reliable pathway between an origin and an end node in newlineemergencies. This research addresses the need for efficient and robust communication newlinesystems in intelligent transportation systems, ultimately enhancing the overall newlineperformance of VANETs. newlineThis approach ensures efficient resource utilization and minimizes delays in emergency newlineresponse. Additionally, the system considers real-time traffic conditions and newlinedynamically adjusts the selected route to avoid congestion and optimize travel time. newlineThese metrics will comprehensively evaluate the ACO effectiveness in improving newlinecommunication between vehicles. Additionally, the comparison with a state-of-the-art newlineprotocol will help identify areas where the ACO may outperform or lag behind existing newlinesolutions, allowing for further refinement and development. newline