Traffic control and accident prevention has been a major setback for many nations. This work deals with the analysis of data from the traffic dataset and predicts the traffic levels in the areas by considering the past data from the dataset as an input. Here we use multiple methodologies and try to find which process gives out the best possible result for the prediction. We are trying to find the methodology with the best accuracy and performance and incorporate it to the traffic regulations for the prevention of accidents and safe journey on roads for people.
Naik, N. V., Gonugunta, S., Dendukuri, T., Vastadu, P. K., & Bobburi, S. V. (2021). Efficient Route Detection Using Machine Learning. Int. J. of Aquatic Science, 12(3), 93-97.
MLA
N. V. Naik; Sindhu Gonugunta; Tejaswini Dendukuri; Pavan Kumar Vastadu; Sri Varshitha Bobburi. "Efficient Route Detection Using Machine Learning". Int. J. of Aquatic Science, 12, 3, 2021, 93-97.
HARVARD
Naik, N. V., Gonugunta, S., Dendukuri, T., Vastadu, P. K., Bobburi, S. V. (2021). 'Efficient Route Detection Using Machine Learning', Int. J. of Aquatic Science, 12(3), pp. 93-97.
VANCOUVER
Naik, N. V., Gonugunta, S., Dendukuri, T., Vastadu, P. K., Bobburi, S. V. Efficient Route Detection Using Machine Learning. Int. J. of Aquatic Science, 2021; 12(3): 93-97.
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