GPS Trajectories

Donated on 2/28/2016

The dataset has been feed by Android app called Go!Track. It is available at Goolge Play Store(

Dataset Characteristics


Subject Area

Computer Science

Associated Tasks

Classification, Regression

Feature Type


# Instances


# Features


Dataset Information

Additional Information

The dataset is composed by two tables. The first table go_track_tracks presents general attributes and each instance has one trajectory that is represented by the table go_track_trackspoints.

Has Missing Values?


Variable Information

(1) go_track_tracks.csv: a list of trajectories id_android - it represents the device used to capture the instance; speed - it represents the average speed (Km/H) distance - it represent the total distance (Km) rating - it is an evaluation parameter. Evaluation the traffic is a way to verify the volunteers perception about the traffic during the travel, in other words, if volunteers move to some place and face traffic jam, maybe they will evaluate 'bad'. (3- good, 2- normal, 1-bad). rating_bus - it is other evaluation parameter. (1 - The amount of people inside the bus is little, 2 - The bus is not crowded, 3- The bus is crowded. rating_weather - it is another evaluation parameter. ( 2- sunny, 1- raining). car_or_bus - (1 - car, 2-bus) linha - information about the bus that does the pathway (2) go_track_trackspoints.csv: localization points of each trajectory id: unique key to identify each point latitude: latitude from where the point is longitude: longitude from where the point is track_id: identify the trajectory which the point belong time: datetime when the point was collected (GMT-3)

0 citations


M. Cruz

H. Macedo

R. Barreto

A. Guimares


By using the UCI Machine Learning Repository, you acknowledge and accept the cookies and privacy practices used by the UCI Machine Learning Repository.

Read Policy