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Systems Evaluation for Access Management of Multiscale Transportation Networks

机译:多尺度运输网络访问管理的系统评估

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In transportation networks, access management is the systematic approach to control the location, spacing, design, and operation of residential and commercial access points, where a main goal is to preserve the safety and capacity of the system. The literature describes how access management programs can help in saving billions of dollars by reducing the number of crashes and improving road capacity. However, it is common for transportation agencies to have limited resources, including budgets, equipment, time, human resources, and others, and thus they need a framework to prioritize their access management needs among hundreds of thousands of access points. While current prioritization frameworks in the transportation literature have several limitations, this research develops a prioritization framework that combines data-driven quantitative analysis with modeling and expertise of transportation professionals to prioritize access management projects that focus on safety improvement. This will be accomplished by identifying a set of site-specific (quantitative and qualitative) factors that represent engineering characteristics of locations where access points are located and have an impact on the safety of road users. Next, these factors are used to develop a classification criterion to classify each access point into two categories (in terms of safety): critical and noncritical. The results of this analysis are then demonstrated spatially using innovative straight-line diagrams, where the main goal is to allow decision makers to easily identify and prioritize anomalous access points. To demonstrate the developed framework, it was applied to thousands of access points located on four major U.S. highway. The results of this demonstration should assist decision makers to prioritize these access points based on a safety improvement perspective.
机译:在运输网络中,访问管理是控制住宅和商业接入点的位置,间隔,设计和操作的系统方法,主要目标是保留系统的安全性和容量。文献描述了访问管理计划如何通过减少崩溃的数量和提高公路容量来帮助节省数十亿美元。然而,运输机构有限,资源有限,包括预算,设备,时间,人力资源等,因此他们需要一个框架,以优先考虑他们的访问管理需求数十万个接入点。虽然运输文献中的当前优先级框架具有多项限制,但该研究开发了一个优先级框架,将数据驱动的定量分析与运输专业人员的建模和专业知识结合起来,以优先考虑专注于安全改进的访问管理项目。这将通过识别代表接入点所在的地点的工程特征的一组特定于场地(定性和定性)因素来实现的,可以实现,并且对道路使用者的安全产生影响。接下来,这些因素用于开发分类标准,以将每个接入点分为两类(在安全方面):临界和非关键。然后使用创新的直线图在空间上展示该分析的结果,其中主要目标是允许决策者轻松识别和优先考虑异常接入点。为了展示发达的框架,它应用于位于四个主要的美国公路上的数千个接入点。该示范的结果应协助决策者根据安全改进的角度来优先考虑这些接入点。

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