Profit Optimization in Commercial Ridesharing

Arpita Biswas (Indian Institute of Science), Ragavendran Gopalakrishnan (Conduent Labs India), Theja Tulabandhula (University of Illinois, Chicago), Koyel Mukherjee (IBM Research-India), Asmita Metrewar (Apple India), Raja Subramaniam Thangaraj (Conduent Labs India)

Abstract

Ridesharing is undoubtedly appealing from a sustainability perspective; however, profit optimization is very important for commercial providers. As such, ridesharing offers a valuable opportunity to garner profit by reducing the number of driver-miles that need to be paid for in order to serve the same set of passengers. In this paper, we study profit optimization for commercial ridesharing service providers such as UberPool and LyftLine.