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

Field Value
accessLevel public
bureauCode {021:15}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://data.transportation.gov/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
dataQuality true
identifier https://data.transportation.gov/api/views/b3k6-qwyh
issued 2020-07-23
landingPage https://data.transportation.gov/d/b3k6-qwyh
license https://www.usa.gov/government-works
modified 2020-07-23
old-spatial -72.5339,42.0211,-72.6494,42.3927
programCode {021:009}
publisher US Department of Transportation
resource-type Dataset
source_datajson_identifier true
source_hash e35a3cc1ea98dc91a5e42838a647851eca10f05e
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-72.5339, 42.0211], [-72.5339, 42.3927], [-72.6494, 42.3927], [-72.6494, 42.0211], [-72.5339, 42.0211]]]}
temporal 2016-07-18/2016-07-25
theme {Automobiles}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • car-following
  • ckan
  • freeway
  • geo
  • geoss
  • instrumented-research-vehicle-irv
  • microscopic-modeling
  • microsimulation
  • national
  • north-america
  • springfield-massachusetts
  • traffic-simulation
  • united-states
  • work-zone
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Andrew Berthaume
maintainer_email andrew.berthaume@dot.gov
metadata_created 2025-11-22T21:41:49.146347
metadata_modified 2025-11-22T21:41:49.146351
notes 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).
num_resources 4
num_tags 16
title Enhancing Microsimulation Models for Improved Work Zone Planning: Car-Following Data from Western Massachusetts (Runs)