About this Dataset

Data For Artificial Intelligence: Data-Centric AI For Transportation: Work Zone Use Case Processed Integrated Traffic Work Zone Data

Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case proposes a data integration pipeline that enhances the utilization of work zone and traffic data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic collision likelihood during planned work zone events. This dataset is the processed integrated traffic data with work zone and incident information. Attached below are the number of lanes data and impacted work zone .pkl file.
Organization: Department of Transportation
Last updated: 2024-11-21T11:42:26.324254
Tags: intelligent-transportation-systems-its, its-joint-program-office-jpo, maryland, speed-data, traffic-detectors, traffic-flow, travel-time, work-zones

Tables

Table 1

@usgov.dot_gov_data_for_artificial_intelligence_centric_ai_fo_0fe40125.table_1

23.59 MB
2,845,040 rows
30 columns

CREATE TABLE table_1 (
  "tmc_code" VARCHAR,
  "measurement_tstamp" VARCHAR,
  "speed" DOUBLE,
  "average_speed" DOUBLE,
  "reference_speed" DOUBLE,
  "travel_time_minutes" DOUBLE,
  "confidence_score" DOUBLE,
  "cvalue" DOUBLE,
  "start_time" VARCHAR,
  "end_time" VARCHAR,
  "time_start_record" VARCHAR,
  "time_end_record" VARCHAR,
  "id" VARCHAR,
  "order" BIGINT,
  "miles" DOUBLE,
  "direction" VARCHAR,
  "distance_to_work_zone" DOUBLE,
  "distance_e_to_wz" DOUBLE,
  "sholder_closure_count" BIGINT,
  "traffic_lane_closure_count" DOUBLE,
  "week" VARCHAR,
  "volume" DOUBLE,
  "max_lanes_closed" DOUBLE,
  "road_name" VARCHAR,
  "road_type" VARCHAR,
  "on_ramp" BIGINT,
  "off_ramp" BIGINT,
  "incident_id" VARCHAR,
  "description" VARCHAR,
  "lanes" BIGINT
);