一个简单城市模型下基于拍卖的私人自动驾驶汽车停车场分配与空载巡航限制

Levente Alekszejenkó, T. Dobrowiecki
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引用次数: 0

摘要

我们描述了一个涉及市政空巡航距离限制的私人联网自动驾驶汽车(CAV)优化停车的实验。假设有相当一部分联网自动驾驶汽车将为私人所有,那么停车问题就会出现,需要一种新颖的、受监管的解决方案。为此,我们提出了一种基于拍卖的停车场分配方法,以优化停车成本并惩罚空巡航。为了掌握一个假设的情况,我们通过模拟来评估所提出机制的性质。提出了一个高度抽象的圆形城市模型作为停车问题的仿真环境,同时考虑了限制空巡航范围的规定。这个假设的模型包括两种停车设施(路边停车场和停车场)、各种人类活动模型、定价和距离计算,这些都是通过当代布达佩斯的测量值来校准的。模拟表明,使用拍卖机制并不一定会显著增加停车费用。研究结果还提醒人们注意适当的空载巡航规则,因为停车场占用率和车辆行驶公里强烈依赖于它们。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Auction Based Parking Lot Assignment and Empty Cruising Limitation of Privately Owned Autonomous Vehicles in a Simple City Model
We describe an experiment of optimizing parking of privately owned connected autonomous vehicles (CAV) involving a municipal limitation of the empty cruising distances.Assuming that a considerable fraction of connected autonomous vehicles will be in private ownership, the problem of parking emerges, calling for a novel and regulated solution. To this end, we propose an auction-based parking lot assignment that optimizes the parking costs and penalizes the empty cruising.To grasp a hypothetical situation, we assess the properties of the proposed mechanism by simulations. A highly abstracted circular city model is presented as a simulation environment to the parking problem, which also considers the regulations limiting the extent of empty cruising. This hypothetical model includes two kinds of parking facilities (curb-sided parking lots and parking houses), various human activity models, pricing, and distance calculations calibrated by values measured in contemporary Budapest.Simulations indicate that using an auction mechanism does not necessarily increase parking charges significantly. The results also call attention to proper empty cruising regulations as parking lot occupancy and vehicle kilometer traveled strongly depend on them.
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