Identified of Collision Alert in Vehicle Ad hoc based on Machine learning

Mohammed S Jasim,Nizar Zaghden,Mohamed Salim Bouhlel

2021 IEEE International Conference on Computing (ICOCO)（2021）

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摘要

Traffic crashes and fatalities in school zones are common in urban areas. Vehicular Ad-hoc Networks (VANETs) can help prevent school zone traffic accidents by the delivery of warning messages to cars. Vehicle collision alert is a cost-effective method of managing traffic and reducing vehicle accidents. The use of roadside units to reduce automobile congestion in school zones is the aim of this ess...

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关键词

Machine learning algorithms,Costs,Roads,Conferences,Urban areas,Clustering algorithms,Machine learning

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