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Data · dataset · 2020

Enhancing Microsimulation Models for Improved Work Zone Planning: Car-Following Data from Northern Virginia (Radar Points)

Listed in U.S Department of Transportation

The data describe freeway car-following behavior (such as velocity, acceleration, and relative position) for the car-following instances observed during 59 data collection runs, performed through the Federal Highway Administration (FHWA) Turner Fairbank Highway Research Center’s (TFHRC) Living Laboratory (LL).

Description

Data were collected using an Instrumented Research Vehicle (IRV) along freeways in northern Virginia to better understand work zone driver behaviors.

The USDOT Volpe National Transportation Systems Center (Volpe Center) identified, isolated, and classified individual car following instances from within the raw datasets (classification parameters included roadway type, level of congestion, and speed limit), then processed, refined, and cleaned the dataset. This table contains the instantaneous data processed from radar and GPS. See also the instances table (datahub.transportation.gov/Automobiles/Enhancing-Microsimulation-Models-for-Improved-Work/k74u-yqu6) and runs table (datahub.transportation.gov/Automobiles/Enhancing-Microsimulation-Models-for-Improved-Work/285w-yjf5).

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Topics

Stated by source
Automobiles
From keywords
Engineering · Social Science
Inferred from text
Tabular 65% · Urban and regional planning 70%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
U.S Department of Transportationuvrt-varj13 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].local:modality:tabularenrichment · data transportation govkeyword-concept-rules@1.0.0title+description (65%)
concepts[topic].socrata_category:data_transportation_gov:automobilessource · data transportation govconnector:data_transportation_gov@1.0.0
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