Published Paper Details:

The widespread adoption of on-demand mobility services has spurred significant advancements in cab management systems. However, existing solutions often exhibit limitations in areas such as real-time optimization, user experience personalization, and integration with sustainable transportation strategies. This review paper critically examines current cab management systems, dissecting their strengths, shortcomings, and underlying technological approaches. Through a comparative analysis, recurrent patterns and potential areas for improvement are identified. Informed by this assessment, the paper proposes a conceptual framework for a next-generation cab management system. This enhanced system aims to leverage advanced optimization algorithms, machine learning techniques, and innovative incentive mechanisms to achieve greater efficiency, rider satisfaction, driver empowerment, and alignment with environmentally conscious transportation goals.