首页|Data on Intelligent Transport Systems Detailed by Researchers at Southeast Unive rsity (Towards Efficient Traffic Crash Detection Based On Macro and Micro Data Fusion On Expressways: a Digital Twin Framework)
Data on Intelligent Transport Systems Detailed by Researchers at Southeast Unive rsity (Towards Efficient Traffic Crash Detection Based On Macro and Micro Data Fusion On Expressways: a Digital Twin Framework)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Transportation - Intelligent Tran sport Systems is the subject of a report. According to news reporting originatin g from Nanjing, People's Republic of China, by NewsRx correspondents, research s tated, “Efficient detection of traffic crashes has been a significant matter of concern with regards to expressway safety management. The current challenge is t hat, despite collecting vast amounts of data, expressway detection equipment is plagued by low data utilization rates, unreliable crash detection models, and in adequate real-time updating capabilities.”
NanjingPeople's Republic of ChinaAsiaIntelligent Transport SystemsTransportationSoutheast University
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