Dataset: OBD-II Datasets

About this Dataset

OBD-II Datasets

These are datasets composed by data from automobile engine captured with OBD-II protocol.

In my Master Degree I made 3 testbeds and tryed to find the driver behavior by building a Machine Learning model. As soon as possible I will let here a rich specification from each data file and also from each research experiment.

More detailsalso will be posted at: https://github.com/cephasax/OBDdatasets

My master full research (Portuguese) : https://repositorio.ufrn.br/jspui/handle/123456789/26017

Tables

Exp1–14drivers 14cars Dailyroutes

@kaggle.cephasax_obdii_ds3.exp1_14drivers_14cars_dailyroutes

747.17 KB
60439 rows
33 columns


CREATE TABLE exp1_14drivers_14cars_dailyroutes (
  "timestamp" DOUBLE,
  "mark" VARCHAR,
  "model" VARCHAR,
  "car_year" DOUBLE,
  "engine_power" DOUBLE,
  "automatic" VARCHAR,
  "vehicle_id" VARCHAR,
  "barometric_pressure_kpa" DOUBLE,
  "engine_coolant_temp" DOUBLE,
  "fuel_level" VARCHAR,
  "engine_load" VARCHAR,
  "ambient_air_temp" DOUBLE,
  "engine_rpm" DOUBLE,
  "intake_manifold_pressure" DOUBLE,
  "maf" DOUBLE,
  "long_term_fuel_trim_bank_2" VARCHAR,
  "fuel_type" VARCHAR,
  "air_intake_temp" DOUBLE,
  "fuel_pressure" DOUBLE,
  "speed" DOUBLE,
  "short_term_fuel_trim_bank_2" VARCHAR,
  "short_term_fuel_trim_bank_1" VARCHAR,
  "engine_runtime" VARCHAR,
  "throttle_pos" VARCHAR,
  "dtc_number" VARCHAR,
  "trouble_codes" VARCHAR,
  "timing_advance" VARCHAR,
  "equiv_ratio" VARCHAR,
  "min" DOUBLE,
  "hours" DOUBLE,
  "days_of_week" DOUBLE,
  "months" DOUBLE,
  "year" DOUBLE
);

Exp2–19drivers 1car 1route

@kaggle.cephasax_obdii_ds3.exp2_19drivers_1car_1route

266.8 KB
8261 rows
28 columns


CREATE TABLE exp2_19drivers_1car_1route (
  "time" DOUBLE,
  "latitude" VARCHAR,
  "longitude" VARCHAR,
  "altitude" DOUBLE,
  "vehicle_id" VARCHAR,
  "barometric_pressure" VARCHAR,
  "engine_coolant_temp" VARCHAR,
  "fuel_level" VARCHAR,
  "engine_load" VARCHAR,
  "ambient_air_temp" VARCHAR,
  "engine_rpm" VARCHAR,
  "intake_manifold_pressure" VARCHAR,
  "maf" VARCHAR,
  "term_fuel_trim_bank_1" VARCHAR,
  "fuel_economy" VARCHAR,
  "long_term_fuel_trim_bank_2" VARCHAR,
  "fuel_type" VARCHAR,
  "air_intake_temp" VARCHAR,
  "fuel_pressure" VARCHAR,
  "speed" VARCHAR,
  "short_term_fuel_trim_bank_2" VARCHAR,
  "short_term_fuel_trim_bank_1" VARCHAR,
  "engine_runtime" VARCHAR,
  "throttle_pos" VARCHAR,
  "dtc_number" VARCHAR,
  "trouble_codes" VARCHAR,
  "timing_advance" VARCHAR,
  "equiv_ratio" VARCHAR
);

Exp3–4drivers 1car 1route

@kaggle.cephasax_obdii_ds3.exp3_4drivers_1car_1route

97.98 KB
1743 rows
30 columns


CREATE TABLE exp3_4drivers_1car_1route (
  "ord" BIGINT,
  "time" DOUBLE,
  "latitude" VARCHAR,
  "longitude" VARCHAR,
  "altitude" DOUBLE,
  "vehicle_id" VARCHAR,
  "barometric_pressure" DOUBLE,
  "engine_coolant_temp" DOUBLE,
  "fuel_level" DOUBLE,
  "engine_load" DOUBLE,
  "ambient_air_temp" DOUBLE,
  "engine_rpm" DOUBLE,
  "intake_manifold_pressure" BIGINT,
  "maf" DOUBLE,
  "term_fuel_trim_bank_1" VARCHAR,
  "fuel_economy" VARCHAR,
  "long_term_fuel_trim_bank_2" VARCHAR,
  "fuel_type" VARCHAR,
  "air_intake_temp" DOUBLE,
  "fuel_pressure" VARCHAR,
  "speed" DOUBLE,
  "short_term_fuel_trim_bank_2" VARCHAR,
  "short_term_fuel_trim_bank_1" DOUBLE,
  "engine_runtime" VARCHAR,
  "throttle_pos" DOUBLE,
  "dtc_number" VARCHAR,
  "trouble_codes" DOUBLE,
  "timing_advance" DOUBLE,
  "equiv_ratio" DOUBLE,
  "aqui" VARCHAR
);