Driver behavior optimization becomes urgent towards contributing to the improvement of road safety, driving efficiency, and environmental quality thus achieving road transport sustainability. The present paper aims to review systematically the existing optimization tools and methodologies that have been developed for the optimization of driving behavior in the contexts of road safety, fuel efficiency, and vehicle emissions. The PRISMA approach was adopted to shortlist the most relevant studies for systematic review out of 220 initial studies. Through the present systemic review, the optimization objective(s), cost function and algorithm along with the relevant constraints were identified. Fuel consumption, energy efficiency, safety risk, and travel time were among the most frequently optimized objectives, with Model Predictive Control emerging as the most widely used optimization algorithm. By systematically identifying and analyzing optimization methodologies, this study provides valuable insights into the most effective tools and approaches for improving driver performance.
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