Evaluation of Transportation Systems and Novel UV-Oriented Solution for Integration, Resilience, Inclusiveness and Sustainability

Abstract

Transportation systems have revolutionized the form of society. With modern transportation methods, countries and cities are becoming more interconnected, allowing for less traveling time and efficiency. However, the transportation system nowadays is also facing great challenges. The limited resources cannot meet the ever-growing demand for transportation, the expensive modern lifestyle puts the environment we rely on in jeopardy, the exhaustion of traditional transportation tools damages the health of all living creatures, and the current transportation system even brings about many safety and security issues. Although the Intelligent Transportation System (ITS) has been proposed to address these issues in the last century, many connectivity problems are still not considered. In this paper, we evaluate, from the UV perspective, the challenges of the transportation system and the current status of ITS based on a framework of closed feedback control loop: data acquisition, communication, decision making, and action. We propose that an effective ITS should take into consideration the interaction between the ITS and other seven smart city subsystems: smart home and community, smart medicine and healthcare, smart energy management, smart city infrastructure, smart environmental protection, smart response system for city emergency, and smart humanity, and also study how the ITS would be affected by four major impacting factors of smart cities: information flow, material cycle, lifestyle, and community. This systematic study will help us explore in-depth the complicated dynamic relationship between multiple impacting factors and propose a UV-oriented, integrated, resilient, inclusive, and sustainable development framework design to address current imminent challenges and to improve our modern intelligent transportation system through our innovative methods of accurate static and dynamic information matching based on the redundancy in data acquisition, novel communication mechanism based on multi-dimensional layers of information that ensures the information effectiveness, robustness and self-adaptive methods, and demand-response management.