Artificial intelligence (AI) advancements for transportation security: in-depth insights into electric and aerial vehicle systems

Abstract

The transformative advancements in transportation technology have brought forth electric and aerial vehicles (EnAVs) as revolutionizing modes of mobility. However, amidst the transformative potential of these vehicles, novel security challenges have emerged, demanding innovative solutions. This review paper delves into the critical intersection of artificial intelligence (AI) and transportation security, with a focus on EnAVs. It meticulously examines the evolving threat landscape within transportation technology and sheds light on the vulnerabilities inherent in these advanced vehicles. AI is positioned as a promising approach to address these challenges. This paper comprehensively explores the role of AI in enhancing security, encompassing image and video analysis for vehicle surveillance, natural language processing for cybersecurity, and reinforcement learning for decision-making and control. Additionally, it presents real-world applications of AI techniques, including intrusion detection, object tracking, sensor fusion, and predictive maintenance. Peering into the future, this review discusses the prospective horizons of AI in transportation security, including its integration with autonomous vehicles and the potential ramifications of quantum computing. By critically examining existing research, identifying gaps, and proposing directions for future exploration, this paper contributes to a holistic understanding of how AI can fortify the security of EnAVs, thus paving the way for safer and more resilient transportation systems.