Car-Following Instances for Work Zone Planning from Western Massachusetts, 2016

Six data collection runs captured freeway car-following behavior in western Massachusetts during the summer of 2016. The USDOT Volpe National Transportation Systems Center processed, refined, and cleaned the data, isolating individual car-following instances. This table contains those classified instances, with columns describing vehicle dynamics, road conditions, and work zone status.

Use Cases

• Calibrate car-following model parameters using follower_radar, leader_radar, velocity, and acceleration data from the 20 available columns.
• Analyze driver behavior changes in work zones by comparing wz_status, wz_enforcement, and wz_markers against speed and congestion columns.
• Classify traffic scenarios by road_type, rural_urban, and num_lanes to study their impact on follower_veh_type and leader_veh_type interactions.

Strengths

• Data was processed, refined, and cleaned by the USDOT Volpe National Transportation Systems Center.
• Instances were classified using parameters including roadway type, level of congestion, and speed limit.
• Data is available in multiple formats including CSV, JSON, XML, and RDF.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

USDOT Volpe National Transportation Systems Center (Volpe Center)

Collection Method

Collected using an Instrumented Research Vehicle (IRV) along freeways and arterials, with instances identified, isolated, and classified from raw data.

Time Range

Summer 2016

Freshness

Last updated 2024-07-18 01:02:15; freshness should be verified.

Geography

Western Massachusetts