How Much Urban Traffic is Searching for Parking?
How Much Urban Traffic is Searching for Parking?
复制标题
有多少城市交通正在寻找停车位？
DOI：
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复制
发表时间：
2017
期刊：
影响因子：
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通讯作者：
Baosen Zhang
中科院分区：
文献类型：
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作者：
Chase P. Dowling;Tanner Fiez;L. Ratliff;Baosen Zhang
在本文中，我们探索城市一级的交通和停车数据，以确定有多少巡航路边停车有助于整体交通拥堵。为此，我们描述了一种新的排队网络，并提出了基于这种新的排队网络的数据通知模型。我们在开发和验证仿真工具时利用数据知情模型。此外，我们利用路边停车场和主干道交通量的数据，以产生一个估计的比例，交通搜索停车沿着高占用率的主干道。有些令人惊讶的是，我们发现，虽然通过交通车辆的旅行时间的百分比增加取决于一天中的时间，它似乎并不取决于大量的通过交通。此外，我们表明，一个块面被填满的概率是一个更可行的指标，直接控制拥塞比平均占用率，通常由市政当局使用。
In this paper we explore city-level traffic and parking data to determine how much cruising for curbside parking contributes to overall traffic congestion. To this end, we describe a new kind of queueing network and present a data-informed model based on this new queuing network. We leverage the data-informed model in developing and validating a simulation tool. In addition, we utilize curbside parking and arterial traffic volume data to produce an estimate of the proportion of traffic searching for parking along high occupancy arterials. Somewhat surprisingly, we find that while percentage increase in travel time to through traffic vehicles depends on time of day, it does not appear to depend on high volumes of through traffic. Moreover, we show that the probability of a block-face being full is a much more viable metric for directly controlling congestion than average occupancy rate, typically used by municipalities.
观察还是不观察：城市停车排队博弈框架
DOI：
10.1109/cdc.2016.7799079
发表时间：
2016
期刊：
To observe or not to observe: Queuing game framework for urban parking
影响因子：
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作者：
Ratliff, Lillian J.;Dowling, Chase;Mazumdar, Eric;Zhang, Baosen
通讯作者：
Zhang, Baosen