Artificial Intelligence for Vehicle-to-Everything: A Survey

TLDR

Advances in communications, intelligent transportation, and computational systems, coupled with AI, enable V2X to gather diverse data, extend driver perception, and predict accidents, thereby improving traffic safety, comfort, and efficiency. This survey reviews AI applications in V2X systems and outlines open research challenges to realize AI’s full potential. The authors conduct a comprehensive survey of AI-based V2X research, categorizing studies by application domain. The survey summarizes and classifies AI contributions to V2X across multiple application domains.

Abstract

Recently, the advancement in communications, intelligent transportation systems, and computational systems has opened up new opportunities for intelligent traffic safety, comfort, and efficiency solutions. Artificial intelligence (AI) has been widely used to optimize traditional data-driven approaches in different areas of the scientific research. Vehicle-to-everything (V2X) system together with AI can acquire the information from diverse sources, can expand the driver's perception, and can predict to avoid potential accidents, thus enhancing the comfort, safety, and efficiency of the driving. This paper presents a comprehensive survey of the research works that have utilized AI to address various research challenges in V2X systems. We have summarized the contribution of these research works and categorized them according to the application domains. Finally, we present open problems and research challenges that need to be addressed for realizing the full potential of AI to advance V2X systems.