Monitoring driver behavior in real-time is a challenging task as there are several factors that can influence the driver to commit unpredictable mistakes while driving. These factors mainly involve inattentive driver state, absent mind, unreliable cornering, and speeding, resulting in fatal accidents. This chapter identifies the factors that affect driver behavior and performance, and provides an in-depth analysis of various deployed scientific monitoring methods and proposes solutions for early and efficient real-time monitoring of driver behavior. The chapter also reviews real-time smart detection algorithms deployed for the classification of driver state. In addition, the chapter proposes an unsupervised deep learning neural network model that can be deployed in classifying driver states and actions.