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(https://play.google.com/store/apps/details?id=com.go.router).
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Classification, Regression
Feature Type
Real
# Instances
163
# Features
15
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?
Yes
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)
Dataset Files
File | Size |
---|---|
GPS Trajectory.rar | 215.5 KB |
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset gps_trajectories = fetch_ucirepo(id=354) # data (as pandas dataframes) X = gps_trajectories.data.features y = gps_trajectories.data.targets # metadata print(gps_trajectories.metadata) # variable information print(gps_trajectories.variables)
Cruz, M., Macedo, H., Barreto, R., & Guimares, A. (2015). GPS Trajectories [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C54S5Z.
Creators
M. Cruz
H. Macedo
R. Barreto
A. Guimares
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.