This paper develops a novel parking navigation system for downtown parking that aims to mitigate parking competition by guiding drivers to appropriate vacant parking spaces. Given drivers’ real-time locations and their parking preferences, a two-sided matching algorithm is firstly adopted to achieve a stable driver-optimal matching, under which drivers will be assigned to their most appropriate parking spaces (if any), and have no incentive to misreport their private information (e.g., parking space preferences). Although drivers’ private information is required for the navigation system, a distributed solution procedure is applied to achieve the space assignment without disclosing such information. Lastly, simulation experiments are conducted to demonstrate the capability of the proposed navigation system on reducing driving time and the frequency of changed navigation compared with other navigation systems.

中文翻译：

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用于市区停车的先进停车导航系统

本文针对市区停车位开发了一种新颖的停车导航系统，旨在通过引导驾驶员前往合适的空位来减轻停车竞争。给定驾驶员的实时位置及其泊车偏好，首先采用双面匹配算法来实现稳定的驾驶员最佳匹配，在这种情况下，驾驶员将被分配到最合适的泊车位（如果有），并且没有鼓励误报其私人信息（例如，停车位偏好）。尽管导航系统需要驾驶员的私人信息，但是在不公开此类信息的情况下，仍采用分布式解决方案过程来实现空间分配。最后，