Developing a Methodology to Evaluate Detours for Major Construction Projects in the Era of Real-Time Route Guidance
项目名称: Developing a Methodology to Evaluate Detours for Major Construction Projects in the Era of Real-Time Route Guidance
摘要: On major road construction projects, maintaining agencies typically designate detour routes and provide detour information to motorists. In the era of real-time traffic information and in-vehicle route guidance, it is not clear to what extent this detour information is followed or if all components are necessary. An example is the current project to reconstruct Interstate 20/59 in downtown Birmingham, in which a 1.5 mile segment of the interstate has been completely closed for a duration of over 1 year. Prior to construction this segment carried approximately 160,000 vehicles per day, so the traffic diversions are significant, but it is not clear to what extent motorists are using the detour routes designated and signed by the Alabama DOT or the detour information being provided through the media. Understanding how the regional network has been affected can provide useful information for future projects involving closures of major facilities. Using big data analytics and traveler surveys, this project will attempt to quantify the extent to which motorists have used designated detour routes or chosen to use alternate routes, what means they have used to make those choices, and what the impact has been on local and regional congestion. The goal is to provide insight on how motorists make detour choices with the abundance of traffic information available to them and develop a methodology for creating detour plans for large construction projects to assist travelers and minimize congestion impacts.
状态: Active
资金: 55000
资助组织: Office of the Assistant Secretary for Research and Technology
项目负责人: Tucker-Thomas, Dawn
执行机构: University of Alabama, Birmingham
开始时间: 20191115
预计完成日期: 20201115
主题领域: Construction;Data and Information Technology;Highways;Operations and Traffic Management;Planning and Forecasting
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