Abstract
Multifaceted ramifications of integrating connected and autonomous vehicles (CAVs) into the transportation systems pose a complex puzzle, with no easily discernible solutions regarding their impact on traffic efficiency and safety. Arriving at a clearer understanding requires exhaustive assessments of the performance of mixed traffic involving AI and CAVs is imperative, as it holds the potential to furnish invaluable insights. The role of connectivity looms large in this context, as it wields the power to substantially enhance both road safety and traffic management, with spill-over advantages affecting congestion mitigation and, conceivably, air quality improvement. It is essential to recognize that the adoption of connectivity also ushers in a new set of challenges. These challenges encompass issues related to technology compatibility, safeguarding data privacy, and fortifying defenses against cyber threats. The knowledge generated from this comprehensive evaluation of CAVs can be harnessed to benefit stakeholders within the automotive industry, academia, and policymakers.
TopIntroduction
Actions are vital for cybersecurity and other leaders to gather data (Zhang, Wu et al., 2020) shared across organizations (federal, state, local sectors, and industries). Such AI and CAV data gathering should involve the business departments, not just information technology (Nobles, 2018) so that all understand the effects of CAV development to include risk events on operations (American Association of State Highway and Transportation Officials [AASHTO], 2021; Ding et al., 2021; Jones, 2021, 2020; National Association of Counties, 2019). The multifaceted ramifications of integrating CAVs into our transportation systems pose a complex puzzle, with no easily discernible solutions regarding their impact on traffic efficiency and safety (Santana et al., 2021; Yang et al., 2021).
Key Terms in this Chapter
Technological Determination Model: The Technological Determinism Model is a theory that suggests that technology is the primary driving force behind social and cultural change. According to this model, technological advances and innovations are the key drivers of change in society and they shape and influence the way people interact with one another, how they perceive the world, and how they behave.
Innovation: In the realms of cybersecurity and artificial intelligence, innovation encompasses the development and application of novel or markedly enhanced offerings and solutions. This innovation extends to the refinement of production and operational methodologies, the enhancement of customer engagement through enriched experiences, as well as the evolution of organizational strategies, work methodologies, human capital expertise, and resource utilization, all of which collectively contribute to the generation of substantial value.
Computer Vision: The branch of artificial intelligence known as computer vision is dedicated to making it possible for computers to analyze and comprehend visual data.
Cybersecurity Risks: The concept of “cybersecurity risks” pertains to the potential vulnerabilities an organization may face, leading to potential harm or losses resulting from cyberattacks or data breaches. These risks have the capacity to adversely impact various aspects of an organization, including its mission, functions, reputation, assets, and personnel, as well as its relationships with other entities and even the broader national interests. These impacts are directly associated with the compromise of confidentiality, integrity, or availability of information, data, or information systems (including control mechanisms).
Artificial Intelligence: Artificial Intelligence (AI) is a branch of computer science that focuses on creating systems and algorithms capable of performing tasks typically requiring human intelligence, such as problem-solving and learning.
Connected and Autonomous Vehicles: The connected aspect of the vehicle is essentially a data-driven automobile with an extensive array of tailored features designed to enhance safety, reduce energy consumption, and enhance the overall comfort of both the driver and passengers. The autonomous aspect of the vehicles leverage driver assistance technologies to eliminate the requirement for human operators entirely. These vehicles possess the capacity to autonomously make decisions and take corresponding actions. connected and autonomous vehicles, cybersecurity risks, innovation, competitiveness, artificial intelligence, autonomous system.
Wirelessly: Wirelessly references the mode of communication with other vehicles, infrastructure, and devices.
Competitiveness: In the realm of technology and cybersecurity, competitiveness denotes an organization's or a nation's ability to excel beyond its rivals in safeguarding information systems and data. This entails the development and deployment of cutting-edge cybersecurity methodologies, protocols, and technological advancements.