Intelligent Infrastructure of Route Scheduling for Smart Transportation Systems in Smart Cities

Introduction

The continued population development in large cities has resulted in hefty traffic, which has become an essential concern regarding efficiency and environmental friendliness. Smart cities have gained popularity as a means of addressing these difficulties. An intelligent city employs cutting-edge technology to improve the quality of life for its residents by fostering a more efficient and sustainable environment. It is critical to deploy an Intelligent Transportation System (ITS) capable of efficiently controlling traffic flow and enhancing the overall transportation system. However, as the use of technology grows, so does the possibility of security risks, particularly in the case of ITS. Vehicles are vulnerable to various service assaults that might jeopardize security, posing a substantial barrier to the safe running of transportation networks. To overcome these problems, ITS standards like those developed in the United States and Europe have chosen Elliptic Curve Cryptography (ECC) methods for secure vehicle interactions. Evolutionary computation has also created a two-layer taxonomy for intelligent check transportation in smart cities. Despite efforts to increase ITS security, benchmark research on continuing security requirements in real-world contexts still needs to be conducted. This article provides an intelligent route scheduling infrastructure for the smart city's innovative transportation system that uses ECC algorithms for safe vehicle interactions. The methodology that is being proposed has four main parts: intelligent metro transportation and intelligent route scheduling, intelligent car service and intelligent city communications architecture, intelligent infrastructure for electric vehicles and traffic lights, and EC for intelligent vehicle network and intelligent land transportation. Smart algorithms are used in intelligent metro transportation and route scheduling components to optimize the transportation system by determining the most effective routes for cars. This would make the transportation system more effective by reducing traffic and travel time. Modern communication technologies, intelligent car service, and smart city communications architecture enable cars to connect with the transportation network. By doing this, the transportation system would be able to acquire real-time data on vehicle movement and traffic flow, improving its ability to estimate travel times and congestion levels. Creating an infrastructure designed to assist electric cars is a part of the intelligent infrastructure for electric vehicles and traffic light components. This would include setting up charging stations and creating a smart grid system that would make it possible for cars to capture in a more effective and environmentally friendly way. The need of application of Artificial Intelligence System in Smart Cities in Table 1.