To implement Data traffic congestion control using CSMA/CA rate based , power based hybrid strategy

Step 1: M.L approach on traffic congestion monitoring system in IOV

Step 2: on road vehicle path prediction clustering using M.L

Step 3: GPS tresser to predict future location plus land used data can be applied to these approaches to impose there accuracy.

All these things will be done using GPS vehicle datasets not images or videos. Need to arrange datasets for the same

Evner: Python, Machine Learning (ML), GPS, Linux

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Projekt ID: #29429337