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Work zone performance measures pilot test.

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English


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  • Abstract:
    Currently, a well-defined and validated set of metrics to use in monitoring work zone performance do not ; exist. This pilot test was conducted to assist state DOTs in identifying what work zone performance ; measures can and should be targeted, what data they will need to collect to compute those measures, and ; what methods exist to obtain that data. Work zone activity and traffic data from five work zone projects ; were gathered and analyzed. Multiple data sources and collection methods were examined and utilized to the ; extent available at each project. These sources were field crew personnel manually documenting queue ; presence, length, and duration; traffic surveillance data from a transportation management center or from ; portable work zone ITS; and third-party probe vehicle data (in this test, large truck speed data obtained via ; the FHWA Office of Freight Management). ; The results of the pilot test indicate that manual documentation of queuing by field personnel, and the use of ; permanent or portable traffic sensor data can be used effectively to measure work zone impacts, given that ; information as to the time and location of work activities is known. Probe vehicle data is also believed to be ; a viable source of data, but sample size issues did limit is applicability in this pilot test. Average and ; maximum queue lengths and duration, duration of queues exceeding pre-determined thresholds, vehicle ; exposure to queues, and vehicle delays when queues are present were among the several performance ; measures tested and demonstrated as viable indicators of work zone mobility impacts. A number of lessons ; learned through this pilot test effort are also included in the report. A primer on how to select and compute ; work zone performance measures is being developed based on the findings documented in this report.
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    Filetype[PDF - 2.20 MB]
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    urn:sha-512:583ea87e8b15a7c8775d9182c789f43b38d473ebc07bb800b07c0d743cf91d8619ee3390962a1cff7ea313342ca84d83100aa1aff9acaf8f6f33ea870bf72957
File Language:
English
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