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Kinematic Features of Porto Taxi Trips

This dataset comprises tabular information related to the movement of taxis in the city of Porto, Portugal. For every taxi journey, we segmented the trajectory into 20 intervals and derived a series of kinematic features from each segment. The primary goal is to discern between various types of taxi calls over a one-month observational period: A if the trip originated from the central dispatch, B if it was requested directly to a taxi driver at a designated stand, or C for all other cases.

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Personal Data Attributes

Description: Personal Data related Information

Field Value
Anonymised Anonymized
ChildrenData No
Personal Data No
Personal data was manifestly made public by the data subject N/A (Not appliable)
Additional Info
Field Value
Accessibility Virtual Access
Accessibility Mode Download
Accessibility Mode API Access
Availability On-Line
Basic rights Temporary download of a single copy only
Creation Date 2023-11-27
Creator Landi Cristiano, [email protected]
Dataset Citation Data from ECML/PKDD 15: Taxi Trip Time Prediction (II) CompetitionElaborated using the transformation proposed in Landi, C., Guidotti, R., Monreale, A., & Nanni, M. (2023). The Trajectory Interval Forest Classifier for Trajectory Classification.
Dataset Re-Use Safeguards none
Field/Scope of use Research only
Field/Scope of use Non-commercial only
Group Sustainable Cities for Citizens
License term 2023-11-28 11:50/2040-01-01 11:50
Manifestation Type Virtual
Processing Degree Secondary
Retention Period 2023-11-28 11:50/2040-01-01 11:50
SoBigData Node SoBigData EU
SoBigData Node SoBigData IT
Sublicense rights No
Territory of use World Wide
Thematic Cluster Other
Time Coverage 2013-07-01 /2014-06-30
spatial
{"type":"Point", "coordinates":[-8.613667488098145,41.14544034004212]}
system:type Dataset
Management Info
Field Value
Author LANDI CRISTIANO
Maintainer LANDI CRISTIANO
Version 1
Last Updated 9 December 2023, 11:33 (CET)
Created 9 December 2023, 11:33 (CET)