As fully automated valet parking systems are being developed, there is a transition period during which both human-operated vehicles (HVs) and autonomous vehicles (AVs) are present in the same parking infrastructure. This paper addresses the problem of allocation of a parking space to an AV without conflicting with the parking space chosen by the driver of a HV. A comprehensive assessment of the key factors that affect the preference and choice of a driver for a parking space is established by the fuzzy comprehensive method. The algorithm then generates a ranking order of the available parking spaces to first predict the driver’s choice of parking space and then allocate a space for the AV. The Floyd algorithm of shortest distance is used to determine the route for the AV to reach its parking space. The proposed allocation and search algorithm is applied to the examples of a parking lot with three designed scenarios. It is shown that parking space can be reasonably allocated for AVs.

中文翻译：

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人工和自动驾驶车辆过渡期间的自动停车位分配

随着全自动代客泊车系统的开发，存在一个过渡时期，在这段时期内，人类的车辆（HV）和自动驾驶车辆（AV）都存在于同一泊车基础设施中。本文解决了在不与HV驾驶员选择的停车位相冲突的情况下为AV分配停车位的问题。通过模糊综合法对影响驾驶员偏好和停车位选择的关键因素进行了综合评估。然后，该算法生成可用停车位的排名顺序，以首先预测驾驶员对停车位的选择，然后为AV分配空间。最短距离的弗洛伊德算法用于确定AV到达其停车位的路线。将所提出的分配和搜索算法应用于具有三种设计方案的停车场示例。结果表明，可以合理地为AV分配停车位。