• PRAVEEN KUMAR D
• PRAVIN KUMAR A
• NITHYASHRI J
• VEERALAKSHMI P

Currently, road transport infrastructure failing to cope up with the exponential increase in vehicular population. To computing the fastest driving routes and accidents in the presence of varying traffic conditions is an essential problem in modern navigation systems. To prevent this problem is to investigate the transport department dataset with machine learning method for finding the best road selection without accident forecasting by prediction results of best accuracy calculations. The analysis of dataset by supervised machine learning technique (SMLT) to capture several information’s like, variable identification, uni-variate analysis, bi-variate and multi-variate analysis, missing value treatments and analyze the data validation, data cleaning/preparing and data visualization will be done on the entire given dataset. Additionally, to compare and discuss the performance of various machine learning algorithms from the given transport department dataset with evaluation of GUI based user interface air quality prediction by given attributes.

GUI Application of best traffic route prediction for accident analysis using machine learning algorithm

"GUI Application of best traffic route prediction for accident analysis using machine learning algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.659-664, May-2020, Available :http://www.jetir.org/papers/JETIR2005094.pdf

"GUI Application of best traffic route prediction for accident analysis using machine learning algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp659-664, May-2020, Available at : http://www.jetir.org/papers/JETIR2005094.pdf