Quantum-Inspired Technologies and Intelligent Traffic Management Systems are Utilized for Managing Four-Way Crossroad Safety for Autonomous Vehicles in American Busiest Cities
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Abstract
Given the increasing demand for both autonomous and non-autonomous vehicles, modern generations require a technologically advanced, quantum-driven intelligent traffic management system. Both autonomous and non-autonomous cars utilize intelligent road management tactics to improve traffic efficiency. Intersection management units (IM) control all types of vehicles using preemptive and non-preemptive scheduling approaches. The simulation, which utilizes road and transport sections in various cities in the United States' busiest roadways (NYC, Chicago, and Tampa), employs a time delay of 3.62 seconds for emergency autonomous cars and 4.33 seconds for non-autonomous cars. It is based on the Open Streat Map (OSM) and follows the NHSTA guidelines to improve road performance for all types of automobiles. We conducted a second-phase simulation using Simulation of Urban Mobility (SUMO) on four different junction routes in the United States of America, focusing on NYC, Chicago, and Tampa. This simulation highlighted the enhanced performance and advantages of quantum technologies for human welfare and roads that yielded the best outcomes for autonomous buses (AB), non-autonomous vehicles (OV), and emergency autonomous cars (EAC). The proposed system's ability to reduce average time delays for a variety of autonomous vehicles demonstrates the usefulness of an autonomous junction management system. The application of quantum mechanics to quantum computing has considerable potential for breakthroughs in a variety of sectors. This outstanding paper explores how quantum computing may revolutionize fields including traffic planning, logistics, routing, and autonomous cars. It focuses on the developing interface between quantum computing and intelligent transportation systems. This survey seeks to offer a thorough picture of how quantum computing might affect transportation in the future by looking at current research efforts, obstacles, and future possibilities in the futured intelligent traffic management systems in North American region