Enhancing Microsimulation Models for Improved Work Zone Planning: Car-Following Data from Western Massachusetts (Runs)

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).

Data and Resources

Additional Info

Field Value
Source https://datahub.transportation.gov/d/b3k6-qwyh
Version
Author Volpe Center
Author Email
Maintainer
Maintainer Email
Shared (this field will be removed in the future) Open
IB1 Sensitivity Class
IB1 Trust Framework
IB1 Dataset Assurance
IB1 Trust Framework
Common-Core_Bureau-Code 021:15
Common-Core_Contact-Email [email protected]
Common-Core_Contact-Name Andrew Berthaume
Common-Core_Geographic-Coverage -72.5339,42.0211,-72.6494,42.3927
Common-Core_Is-Quality-Data true
Common-Core_Issued 2020-07-23
Common-Core_Last-Update 2020-07-23
Common-Core_License http://www.usa.gov/publicdomain/label/1.0/
Common-Core_Program-Code 021:009
Common-Core_Public-Access-Level public
Common-Core_Publisher US Department of Transportation
Common-Core_Temporal-Applicability 2016-07-18/2016-07-25
categories {recreation,transportation}
license Public Domain U.S. Government
owner_display_name Ian Berg
source_created_at 2020-07-23T15:04:01.000Z
source_updated_at 2020-07-27T18:07:41.000Z