Data Communication Challenges of Connected and Automated Vehicles in Rural Areas
Mahsa Tavasoli, Abdolhossein Sarrafzadeh, Milad Khaleghi, Mohammad Zakaria, Hannaneh Barahouei Pasandi, Ali Karimoddini
Abstract
The integration of connected and automated vehicles (CAVs) into rural areas offers a promising solution to the unique challenges posed by limited infrastructure. This paper provides an in-depth review of the key data communication challenges that impede the seamless deployment of CAVs in these environments. We examine the development of vehicular communication technologies, evaluating their performance and the limitations of current systems in rural settings. The study explores advanced network architectures, protocols, and technologies such as vehicle-to-everything (V2X) communications, with a focus on enhancing network coverage, improving data transmission reliability, and ensuring robust security. Additionally, we analyze the specific characteristics of rural transportation networks, highlighting the need for adaptable technologies and improved infrastructure to support CAV deployment. The paper also discusses the integration of intelligent transportation systems (ITS) with CAVs, emphasizing their potential to improve safety, efficiency, and quality of life in rural communities. Through detailed text mining and topic modeling analysis, we identify current trends, challenges, and research gaps in communication networks for CAVs in rural areas, offering a comprehensive understanding of the landscape and guiding future research efforts. Our findings stress the importance of enhancing network connectivity, developing resilient communication systems, and addressing cybersecurity concerns to realize the benefits of CAVs in rural areas fully. This work contributes to the existing body of knowledge by proposing innovative solutions to overcome the infrastructural, technological, and policy-related barriers that currently prevent the effective deployment of CAVs in rural transportation systems.