论文标题

路边停车搜索的性质

The nature of the on-street parking search

论文作者

Ogulenko, Aleksey, Benenson, Itzhak, Fulman, Nir

论文摘要

该地区的停车占用率是由三个主要参数定义的 - 汽车到达的速度,已经停放的汽车的停留时间以及正在搜索但没有找到空置停车位的驾驶员的意愿继续进行搜索。我们研究了一系列的理论和数字模型,即确定性和随机性,这些模型将该区域的停车动态描述为依赖这些参数的供应比率的整个范围,重点是当需求接近或高于供应的情况下。我们证明,一个简单的确定性模型为停车系统的主要特征提供了良好的分析近似 - 到达该地区停车的汽车平均比例,停车场巡航的平均汽车数量以及平均巡航时间。随机模型可以估计这些特征的分布以及与这些分布方差相关的参数,例如到达汽车在不到T分钟内找到停车位的比例。

Parking occupancy in the area is defined by three major parameters - the rate of cars arrivals, the dwell time of already parked cars, and the willingness of drivers who are searching but yet did not find a vacant parking spot, to continue their search. We investigate a series of theoretical and numeric models, deterministic and stochastic, that describe parking dynamics in the area as dependent on these parameters, over the entire spectrum of the demand to supply ratio, focusing on the case when the demand is close to or above the supply. We demonstrate that a simple deterministic model provides a good analytical approximation for the major characteristics of the parking system - the average fraction of cars among the arriving that will find parking in the area, the average number of cars that cruise for parking, and average cruising time. Stochastic models make it possible to estimate the distributions of these characteristics as well as the parameters that are related to the variance of these distributions, like the fraction of the arriving cars that find parking in less than t minutes.

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