Dataset: Enhancing Microsimulation Models for Improved Work Zone Planning: Car-Following Data from Western Massachusetts (Runs)
Provided by Department of Transportation
Updated 24 Nov 2021
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The dataset on this page is a cache of the dataset https://catalog.data.gov/dataset/enhancing-microsimulation-models-for-improved-work-zone-planning-car-following-data-from-w-f28f8. It is a snapshot of the dataset as it appeared on 20 Jan 2022 04:26 GMT. The current dataset could have changed in the meantime. Attribution: Contains data retrieved from Data.gov.
The data describe freeway car-following behavior (such as velocity, acceleration, and relative position) for the car-following instances observed during 6 data collection runs, collected using an Instrumented Research Vehicle (IRV) along freeways and arterials in western Massachusetts in the summer of 2016 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 metadata about each data collection run. See also the instances table (https://datahub.transportation.gov/Automobiles/Enhancing-Microsimulation-Models-for-Improved-Work/74ug-57tr) and radar table (https://datahub.transportation.gov/Automobiles/Enhancing-Microsimulation-Models-for-Improved-Work/4qbx-egtn).
|Dataset:||Enhancing Microsimulation Models for Improved Work Zone Planning: Car-Following Data from Western Massachusetts (Runs)|
|Provider:||Department of Transportation|
|Licence:||License information is derived automatically. Refer to source for license information before using this data.|
|Country:||United States of America|
"Enhancing Microsimulation Models for Improved Work Zone Planning: Car-Following Data from Western Massachusetts (Runs)" contains the following resources:
- csv - Comma Separated Values File
- rdf - RDF File
- json - JSON File
- xml - XML File
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