approved
Kinematic Features of Porto Taxi Trips
Dataset extent
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Data and Resources
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TIF - taxi trajectory dataCSV
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Personal Data Attributes
| 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, cristiano.landi@phd.unipi.it |
| 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) |
