1371455 - Impact of Autonomous Vehicles Based On-Demand Transportation on Crashes

The transportation industry has undergone a significant transformation in recent years, owing to two transformative factors: the development of autonomous vehicles (AV) and on-demand ridesharing services. Deploying AVs into rideshare networks may maximize the utilization of both technologies and has the potential to become a major mode of public transportation. Utilizing these technologies undoubtedly has advantages, but some studies have also found downsides. Despite the fact that AVs have the potential to eliminate driver error, it is unclear whether the magnitude of damage caused by AVs will be greater or less than that of human-driven car accidents. Since on-demand Autonomous vehicles are the future of mobility and safety remains a major hurdle for development and commercialization, it is essential to conduct a thorough analysis of the effects of AV-based on-demand services on traffic crashes. This paper provides a comprehensive review of relevant literature to evaluate the effects of AV-based on-demand transportation on crash frequency, crash-causing factors, and collision severity. Data from academic works, research articles, and review articles are gathered and examined collectively. The results indicate that the most critical factor influencing crash severity is weather conditions causing low visibility. The findings of this research will aid safety officials in the planning of the integration of Autonomous Vehicles into on-demand transportation services.