Matching passengers and drivers with multiple objectives in ride sharing markets

• Main Authors: LYU, Guodong, TEO, Chung Piaw, CHEUNG, Wangchi, WANG, Hai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Computer and Systems Architecture; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6873; https://ink.library.smu.edu.sg/context/sis_research/article/7876/viewcontent/Program_v4_prettified.xlsx.pdf
• Institution: Singapore Management University

In many cities in the world, ride sharing companies, such as Uber, Didi, Grab and Lyft, have been able to leverage on Internet-based platforms to conduct online decision making to connect passengers and drivers. These online platforms facilitate the integration of passengers and drivers’ mobility data on smart phones in real-time, which enables a convenient matching between demand and supply in real time. These clear operational advantages have motivated many similar shared service business models in the public transportation arena, and have been a disruptive force to the traditional taxi industry.