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Automatic Safety Diagnosis in Connected Vehicle Environment
STRIDE Webinar

Shuang Tu, Ph.D. and Di Wu, Jackson State University

In this talk we will report our work on the development of a computational pipeline of automatic safety diagnosis system in connected vehicle environment using the basic safety messages (BSMs). The system is aimed to serve as  a real-time near crash warning tool with a multi-dimensional cloud-based driving anomaly detection (DAD) model and a conflict identification model (CIM) on the individual level. This talk will cover aspects including raw data collection, data preprocessing, data analysis, data communication and warning message generation.

Oct 12, 2022 12:00 PM in Eastern Time (US and Canada)

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