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

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 the instantaneous data processed from radar and GPS. See also the instances table (https://datahub.transportation.gov/Automobiles/Enhancing-Microsimulation-Models-for-Improved-Work/b3k6-qwyh) and runs table (https://datahub.transportation.gov/Automobiles/Enhancing-Microsimulation-Models-for-Improved-Work/74ug-57tr).

Data e Risorse

Campo Valore
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/4qbx-egtn
issued 2020-07-23
landingPage https://data.transportation.gov/d/4qbx-egtn
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 1e3c9cfc1a66d03015a5bd421da817065ca89c52
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}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • 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 2025-11-19T16:18:28.623064
metadata_modified 2025-11-19T16:18:28.623072
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 the instantaneous data processed from radar and GPS. See also the instances table (https://datahub.transportation.gov/Automobiles/Enhancing-Microsimulation-Models-for-Improved-Work/b3k6-qwyh) and runs table (https://datahub.transportation.gov/Automobiles/Enhancing-Microsimulation-Models-for-Improved-Work/74ug-57tr).
num_resources 4
num_tags 16
title Enhancing Microsimulation Models for Improved Work Zone Planning: Car-Following Data from Western Massachusetts (Radar Points)