United States Department of Transportation
i
Performance Measurement & Management Using Connected & Automated Vehicle Data
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2021-07-01
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[PDF-6.87 MB]
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Edition:5/1/2017 to 7/14/2021
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Abstract:The availability of connected vehicle (CV) data, even at lower market penetrations, can be sufficient to support critical transportation performance measurement and management functions. This study developed a framework, methods, and algorithms for using CV data to estimate measures to support agency processes. As such, the study investigated the use of CV data to estimate metrics that can be currently estimated using existing data sources including those related to mobility, reliability, and environmental impacts. In addition, the study investigated the estimation and utilization of additional mobility and safety metrics that cannot be estimated based on existing sources of data. The developed framework and methods to estimate performance measures can be used by a system operator, a planner, or an automated system to support decisions associated with the agency business processes. The methods can be also used in the real-time operations of traffic management centers (TMCs) to determine the traffic states. In addition, machine learning models were developed for use by the TMCs for short-term prediction of traffic conditions to support proactive activation of operational plans to mitigate potential deterioration in mobility and safety performance.
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