Autonomous Vehicles (AVs) can be stacked behind each other like valet parking due to their self-parking capability to increase the land utilization and decrease the parking space allocation. However, such parking arrangements cause blockage and necessitate AVs relocation inside the car-park whenever a blocked AV is summoned. In this paper, we investigate AV parking spot selection based on their arrival and departure times to minimize the number of such relocation movements. We study both full and partial information scenarios in which we have exact a priori information, and no a priori information about arrival and departure time, respectively. The results show that parking in the spot with the lowest blockage probability can decrease the number of relocation movements. Also, our analysis shows that retrieving vehicles from the rear side does not have a significant impact on the number of relocation movements.

自动驾驶汽车（AV）可以像代客泊车一样彼此堆叠，因为它们具有自动泊车功能，可以提高土地利用率并减少泊车位分配。但是，这种停车安排会导致阻塞，并且每当召唤被阻塞的AV时，都需要将AV重新安置在停车场内。在本文中，我们根据到达和离开的时间来研究AV停车位的选择，以最大程度地减少此类移动的次数。我们研究全部和部分信息场景，在这些场景中，我们分别具有确切的先验信息，而没有关于到达和离开时间的先验信息。结果表明，以最低的阻塞率停在该地点可以减少搬迁的次数。也，