Using Artificial Intelligence/Machine Learning Tools to Analyze Safety, Road Scene, Near-Misses and Crashes

dc.contributor.authorYang, Garyen
dc.contributor.authorSarkar, Abhijiten
dc.contributor.authorRidgeway, Christieen
dc.contributor.authorThapa, Surendrabikramen
dc.contributor.authorJain, Sandeshen
dc.contributor.authorMiller, Andrew M.en
dc.date.accessioned2024-11-19T13:49:42Zen
dc.date.available2024-11-19T13:49:42Zen
dc.date.issued2024-11-18en
dc.description.abstractArtificial intelligence (AI) and machine learning technologies have the potential to enhance road safety by monitoring driver behavior and analyzing road scene and safety-critical events (SCEs). This study combined a detailed literature review on the application of AI to driver monitoring systems (DMS) and road scene perception, a market scan of commercially available AI tools for transportation safety, and an experiment to study the capability of large vision language models (LVLMs) to describe road scenes. Finally, the report provides recommendations, focusing on integrating advanced AI methods, data sharing, and collaboration between industry and academia. The report emphasizes the importance of ethical considerations and the potential of AI to significantly enhance road safety through innovative applications and continuous advancements. Future research directions include improving the robustness of AI models, addressing ethical and privacy concerns, and fostering industry-academic collaborations to advance AI applications in road safety.en
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://hdl.handle.net/10919/123634en
dc.language.isoenen
dc.publisherNational Surface Transportation Safety Center for Excellenceen
dc.relation.ispartofseriesNSTSCE; 24-UD-163en
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectartificial intelligenceen
dc.subjectAIen
dc.subjecttransportation safetyen
dc.subjectdriver monitoring systemen
dc.titleUsing Artificial Intelligence/Machine Learning Tools to Analyze Safety, Road Scene, Near-Misses and Crashesen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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