Abstract:

How to set the location of a park-and-ride facility and the pricing of shared parking spaces in the era of autonomous vehicles to achieve the desired goals is studied. A linear city is supposed to stipulate that the private cars with solo travelers are not permitted to enter the city center. Travelers can only choose the park-and-ride mode or take the shared autonomous vehicle to the city centre. As vehicles could park themselves automatically with the help of automatic driving technology， there are three ways to park the vehicles： park the vehicle at home， park the vehicle in the free parking spaces near the park-and-ride point， park the vehicle in the shared parking spaces provided by the residents near the park-and-ride point. From the perspective of profit maximization and social cost minimization， the optimal parameter setting under two objectives is discussed. The results show that the optimal parameters such as optimal park-and-ride point location and optimal price for a parking space under two objectives all can be obtained where the supply of shared parking spaces is just equal to its demand. It can provide theoretical reference and decision-making basis for optimal allocation of resources in the era of autonomous driving in this paper.

Key words: autonomous vehicle, park-and-ride, shared parking, optimal management