详情

Developing a Regional Signal Performance Measurement Methodology in the 2021 Urban Mobility Report

项目名称：	Developing a Regional Signal Performance Measurement Methodology in the 2021 Urban Mobility Report
摘要：	The Urban Mobility Report (UMR) has been providing information on urban congestion levels in the U.S. for more than three decades. The UMR uses private-sector crowdsourced speed data combined with traditional public-agency roadway inventory data to measure mobility conditions. The current UMR statistics describe overall congestion levels, but do not discriminate between causes of congestion. With the advent of improvements in the third-party provider data stream, it is now possible to quantify aspects of the mobility contribution provided by enhanced traffic signal systems. This project will use detailed crowdsourced travel time data collected by a private-sector vendor (INRIX) to report on the performance of traffic signal systems. Researchers will review and rank signal operations for urban areas by evaluating signal operations metrics obtained from crowdsourced data, such as arrivals on green and split failures. These metrics will enhance the evaluations that can be obtained from traditional metrics such as arterial street delay. Urban areas will be categorized using factors such as congestion levels, population and population density to ensure that any comparisons include contextual elements that are key to decision-maker understanding and messaging strategies. These traffic signal metrics will provide an approach to measure signal system contributions. For example, improved efficiencies on the streets will result in less delay and/or higher traffic throughput while the signal systems are improving performance. The 2021 Urban Mobility Report website will include an analysis of urban area signal performance. In subsequent years, the methods will be honed with feedback following the release of the information on the 2021 UMR website. NICR will be shown as a 2021 Urban Mobility Report sponsor on the UMR website.
状态：	Active
资金：	100540
资助组织：	Office of the Assistant Secretary for Research and Technology<==>National Institute for Congestion Reduction
项目负责人：	Li, Xiaopeng
执行机构：	Texas A&M Transportation Institute (TTI)
开始时间：	20211001
预计完成日期：	20220331
主题领域：	Data and Information Technology；Highways；Operations and Traffic Management；Planning and Forecasting