Management and Impact of COVID-19 on Intelligent Transportation System

Abstract

AbstractA safe and sustainable intelligent transportation and human behavior system can reliably extract knowledge from traffic data in cities. The data is safeguarded utilizing blockchain and learning techniques, with a threaded Graphics Processing Unit (GPU) for scalability. Different improvements are also available to efficiently process information on the GPU. To combine local information found on every site into global knowledge, a reinforced profound trained model is also built. Internet of Things (IoTs) technologies play a critical role in global transportation. Communication between automobiles via IoT will usher in a new era of communication that will lead to intelligent transportation systems (ITS). ITS technology is emerging as a worldwide revolution in recent years, having a significant influence on the transport and automation industries. As a result, academics’ focus has shifted to the utility of ITS technology, motivating us to give a complete study. As a result, this study brings together current research as well as some potential uses of intelligent transportation system technology in transportation. It traces the growth of ITS studies, also known as transportation models, since their inception and tries to provide a comprehensive analysis of various ITS technologies, including their strengths and drawbacks. Energy management is viewed as a cost-effective, creative solution to high-efficiency power plants. It optimizes conventional sources of the IoT-based intelligent transport system while also assisting in the automation of railroads, highways, airways, and shipways, hence improving customer experience. ITS is being developed to provide informed judgment and cooperative sensing in order to address the growing need for better autonomous transportation. However, in the dynamic era of current apps and the inflexible architecture of legacy Internet, software-defined transportation infrastructure must be adaptable, inventive, adaptive, and programmable (SD-ITS). The logically centralized intelligence of SD-ITS might be a key target of current cyber-threats and assaults, causing the entire network to go down in flames.KeywordsIntelligent transportation systemDeep learningWireless communicationsCOVID-19Data miningTraffic engineeringIncident detection