基于基础设施的自动代客泊车调度系统

Qizhe Xu, Dongxi Lu, Hanyang Zhuang, Chunxiang Wang, Ming Yang
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引用次数: 0

摘要

自动代客泊车(AVP)有助于缓解停车资源短缺的问题,对城市交通效率产生重要影响。然而,在目前的情况下,大多数AVP系统都是通过基于车辆的智能方法来实现的,这不仅导致了车载传感器安装成本高的问题,而且降低了全局停车效率。因此,基于基础设施的AVP系统已成为近年来研究的一个热门方向。获取所有车辆的信息,以便从全局角度考虑每辆车的停放情况。本文旨在提出一种智能停车调度系统(PDS)来系统地解决这些问题。PDS系统的主要功能是分配每辆车的停车位,生成车辆到停车位的轨迹,计算控制命令,并处理潜在的碰撞和冲突。该系统的目标是最小化平均等待时间。以现有停车场为例,建立了仿真平台对系统进行验证。实验结果表明,该系统能够高效地协调停车场内的车辆。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parking Dispatch System for Infrastructure-based Automated Valet Parking
Automated valet parking (AVP) contributes to the reduction in the shortage of the parking resources, which has a significant impact on the efficiency of city transportation. However, in the current situation most AVP systems are implemented through vehicle-based intelligence approaches, leading to not only the problem of high cost in onboard sensor installation but also less global parking efficiency. Therefore, recent research works focusing on infrastructure-based AVP system have become a popular direction. The information of all vehicles is obtained so that the parking of each vehicle can be considered from a global perspective. This paper aims at proposing an intelligent Parking Dispatch System (PDS) to systematically tackle these issues. The PDS is developed to allocate parking space of each vehicle, generate vehicle trajectory to the parking space, compute control commands and also take care of potential collisions and conflicts. The target of this system is to minimize the average waiting time. A simulation platform has been developed to validate the system on the basis of a existent parking lot. The experiment results have shown that the PDS can achieve a high efficiency in coordinating the vehicles in the parking lot.
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