Abstract
Driving behavior plays an important role in traffic safety and eco driving. In this paper, using low-cost smartphone sensors driving profiles (dataset) of various drivers were collected to predict aggressive behavior while driving in the Kingdom of Saudi Arabia (KSA). The prediction was performed using various Machine Learning Algorithms (MLAs) on the dataset with different tools which helped to identify the prediction model that outperforms. The predicted model can be further used in upcoming self-driving cars, prototypes and various driving applications in KSA to predict the aggressive nature of the driver and traffic.