Research on Taxi-Carpooling Matching Schemes Considering Passenger Personalized Needs

Taxi carpooling plays an important role in crowd evacuation from transportation hubs such as airports and railway stations. To encourage taxi carpooling in these transportation hubs, a ride-sharing matching model considering passenger personalized preferences is proposed. At first, combining the characteristics of taxi carpooling in transportation hubs, a taxi sharing pricing model is constructed by comprehensively considering the sharing distance and detour distance of passengers, as well as the interests of passengers and drivers. And then, according to the personalized requirements of passengers, a taxi carpooling matching algorithm is designed to recommend carpooling partners and routes for drivers and passengers, aiming to maximize the system matching rate and minimize passenger travel costs. The experimental results show that the proposed algorithm can improve the rational use of traffic resources, reduce the operating costs of taxis, and minimize passenger travel expenses while meeting the personalized needs of passengers.