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Traffic Congestion Prediction Using Machine Learning Techniques. (arXiv:2206.10983v3 [cs.LG] UPDATED)
Sept. 9, 2022, 1:12 a.m. | Rafed Muhammad Yasir, Dr. Naushin Nower, Dr. Mohammad Shoyaib
cs.LG updates on arXiv.org arxiv.org
The prediction of traffic congestion can serve a crucial role in making
future decisions. Although many studies have been conducted regarding
congestion, most of these could not cover all the important factors (e.g.,
weather conditions). We proposed a prediction model for traffic congestion that
can predict congestion based on day, time and several weather data (e.g.,
temperature, humidity). To evaluate our model, it has been tested against the
traffic data of New Delhi. With this model, congestion of a road …
arxiv congestion machine machine learning machine learning techniques prediction traffic
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