Deep Insight: A Cloud Based Big Data Analytics Platform For Naturalistic Driving Studies

• DOI: 10.20485/jsaeijae.14.3_66
• Publication Date: 2023-07-30T22:12:59Z
• Authors: Archana Venkatach...; Mohammed Shaiqur ...; Aditya Raj; Jennifer Merickel; Anuj Sharma; Jiyang Wang; Senem Velipasalar
• Keywords: Benchmarking; Dashboard

Naturalistic driving studies (NDS) are an increasingly popular method to research behavior. They often result in large amounts of data varying source and format (videos, spatial, time-series data). Traditional processing systems analytical methods not equipped handle the influx data, ranging from terabytes petabytes. Previously, big analytics platforms have been designed address specific use cases intelligent transport such as traffic flow prediction, transportation planning, safety. Similarly, there is a need for robust storing, mining, visualizing, analyzing naturalistic data. This paper presents comprehensive cloud-based AI platform, Deep Insight, management, modeling, enhanced annotations The platform capitalizes on Amazon Web Services, hosting repository public privately collected NDS datasets with tool integration annotation machine learning modeling that permits analysis inference. end-to-end framework provides effective reliable tools processing, annotating, datasets. Additionally, hosts metric dashboard benchmarking displaying performance diverse models using standard dataset. authors present case study classifying driver's head movement demonstrate this framework’s workflow Insight integrated tools. offers wide range cost, access, scalability, security benefits, supporting goals create one-stop, standardized destination studying driver