Enhancing Microsimulation Models For Improved Work Zone Planning: Car-Following Data From Western Massachusetts (Runs) by US Government | Academic Research

About this Dataset

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).
Organization: Department of Transportation
Last updated: 2020-11-12T12:42:27.648978
Tags: car-following, freeway, instrumented-research-vehicle-irv, microscopic-modeling, microsimulation, springfield-massachusetts, traffic-simulation, work-zone

Tables

Table 1

@usgov.dot_gov_enhancing_microsimulation_models_for_improved__bba222ea.table_1

3.5 KB
11 rows
4 columns


CREATE TABLE table_1 (
  "run_id" BIGINT,
  "direction" VARCHAR,
  "date" TIMESTAMP,
  "peak" VARCHAR
);