A Passengers Matching Problem in Ridesharing Systems by Considering User Preference

Ridesharing system has been recognized as an efficient transport mode to solve the environment, energy, traffic congestion issues. In recent researches, user preference was revealed as an important factor to enhance the performance and reliability of ridesharing systems. With the development in ICT, internet-enabled devices and social network enable us to obtain real-time travel information and users’ personality. Therefore, user preference based on their personality is considered in this study. The aims of this study are to formulate a matching model between passengers by considering user preference and to investigate how user preference affects ridesharing system’s performance. The algorithm for solving stable roommates problem is modified for one-on-one passengers matching problem. The factors of user preference are personality and steadiness of user personality. The results of numerical experiments showed that steadiness of user personality affected to both individual and system success rate, while personality only affected to system success rate.