
The deficit of analytics and management of data leads to an improper planning and construction of transport networks thereby leading to a high degree of traffic signal breaches and accidents. The idea presented in the paper is to give an insight on course of a route from its source to the destination. A machine learning approach integrated with descriptive statistics and regression analysis was utilized to detect the information of a route including an individual study on every parameter. Since a simple descriptive study might not generalize a notion, an additional regression analysis was performed to help the policy makers of transportation industry in carrying a planned outcome on traffic management and accident control.
Machine Learning, Descriptive statistics, Regression analysis
Machine Learning, Descriptive statistics, Regression analysis
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