With the development of wireless communication and artificial intelligence technology, online parking reservation system can effectively save drivers’ searching time for vacant spaces. However, in the environment with multiple candidate parking lots around the destination, how to coordinate and maximize parking space resources to reduce the travel time is still a practical issue for urban drivers. In order to solve this problem, a collaborative reservation mechanism based on dynamic vehicle path planning is proposed in this paper. By the aid of the dedicated backbone network with a clear division of work responsibilities, the information of traffic and parking lots is collected in real time, based on which the travel time prediction and empty spaces evaluation are executed separately, and then the optimal decision of path planning and parking lot selection can be made and adjusted dynamically by a step-by-step acknowledgement mechanism. The simulation results show that, based on collaborative working and overall planning, our proposed reservation mechanism can effectively raise the utilization rate of the parking lots resources and significantly reduce the travel time for drivers under different traffic environments. Compared to current mechanisms, the collaborative parking reservation mechanism reveals higher feasibility and applicability. It can assist in design and operation of urban traffic management and space resource utilization.

中文翻译：

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基于动态行车路径规划的多个停车场协同预留机制

随着无线通信和人工智能技术的发展，在线停车预订系统可以有效地节省驾驶员对空置空间的搜索时间。然而，在目的地周围有多个候选停车场的环境中，如何协调和最大化停车位资源以减少出行时间仍然是城市驾驶员的实际问题。为了解决这个问题，本文提出了一种基于动态车辆路径规划的协同预订机制。借助明确划分工作职责的专用骨干网，实时收集交通和停车场信息，在此基础上分别执行行驶时间预测和空置空间评估，然后可以通过逐步的确认机制动态地做出并调整路径规划和停车场选择的最佳决策。仿真结果表明，基于协同工作和总体规划，本文提出的预留机制可以有效提高停车场资源的利用率，并大大减少驾驶员在不同交通环境下的出行时间。与现有机制相比，协同停车预约机制具有更高的可行性和适用性。它可以协助城市交通管理的设计和运营以及空间资源的利用。我们提出的预留机制可以有效提高停车场资源的利用率，并大大减少驾驶员在不同交通环境下的出行时间。与现有机制相比，协同停车预约机制具有更高的可行性和适用性。它可以协助城市交通管理的设计和运营以及空间资源的利用。我们提出的预留机制可以有效提高停车场资源的利用率，并大大减少驾驶员在不同交通环境下的出行时间。与现有机制相比，协同停车预约机制具有更高的可行性和适用性。它可以协助城市交通管理的设计和运营以及空间资源的利用。