Real-Time Traffic Analytics at Intersections
项目名称: Real-Time Traffic Analytics at Intersections
摘要: Central to a smart transportation system is access to real-time data especially at points of planned conflict such as intersections. Unfortunately, visual data is too expensive in bandwidth for remote analysis. The proposed research focuses on performing analysis at the edge and only transmitting compact analysis results. Algorithms will be developed to detect and track vehicles, pedestrians, and bicyclists to summarize counts, travel direction, and notable events such as near collisions. Summary results will be submitted to a website for a real-time look of the road environment.
状态: Completed
资金: 97867
资助组织: Carnegie Mellon University<==>Office of the Assistant Secretary for Research and Technology
项目负责人: Kline, Robin
执行机构: Carnegie Mellon University
开始时间: 20200701
预计完成日期: 20210630
实际结束时间: 20210802
主题领域: Data and Information Technology;Highways;Pedestrians and Bicyclists
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