论文标题
使用宏观和显微镜模型对双重停车区域范围范围的数据驱动和集成评估
A Data-Driven and Integrated Evaluation of Area-wide Impacts of Double Parking Using Macroscopic and Microscopic Models
论文作者
论文摘要
在城市街道上，通常会对交通运营产生负面影响和安全性的双重停车场并不是一种新现象。这项研究提出了一个新型的数据驱动的集成框架，用于估计双停车的实际频率，以便在存在双停车场的情况下，可以利用微观和宏观模型来量化面积范围的影响。该研究的发现可以为运输机构提供有关识别位置的有用见解，这些位置将通过消除有问题的双重停车位来获得最大的好处。结果，可以更有效地计划各种停车执行和管理策略。
Double parking that often negatively affects traffic operations and safety is not a new phenomenon on urban streets. This study proposes a novel data-driven integrated framework for estimating the actual frequency of double parking so that both microscopic and macroscopic models can be utilized to quantify area-wide impacts in the presence of double parking. The findings of the study can provide transportation agencies with useful insights on identifying locations that will experience the greatest benefits by removing problematic double parking. As a result, various parking enforcement and management strategies can be planned more effectively.
