The ufrj/london-trajectories dataset (2021-03-22)  >  the trajectoriesgps traceset

collection method

The traces a GPS routes calculated by the HERE Maps API. These routes were provided with length and duration already. We estimated a visible area taking into account the route segments and a margin of 100 m for the left and right side for some of the features calculations. The nature feature was calculated intersecting the natural area polygons given by OpenStreetMap and the visible area. The attractions feature was calculated as the number of tourist attractions given by OpenStreetMap inside the route's visible area. The criminality was calculated as the sum of the severity of the crimes, provided by the UK police crime dataset, found inside the visible area. The severity of the crimes were weighted by the UK Office for National Statistics Crime Severity Score. The normalization of the features was done relatively to the maximum feature variation found in each route set (routes with the same origin and destination). The accidents feature was calculated as the sum of accidents severity and accidents casualties that happened in the route. The accidents data was provided by the UK Government Open Data Website. The traffic feature was calculated as the ratio between the no-traffic route duration and the route duration considering traffic. Both values are given by the HERE Maps API.

data sanitization method

The data didn't require any sanitization.

summary

600 route sets of different origin/destination pairs from London.

data collection end date

2020-12-15

incorrectly measured data

There is no incorrectly measured data.

methodology limitations

The routes origins and destinations were randomized within the city of London, the data does not represent the city as a whole.

missing data

There is no missing data.

data collection start date

2020-12-01

technical description

This dataset contains 600 route sets of different origin/destination pairs from London, each with information about trip duration, route length, traffic, criminality, accidents, nature and tourist attractions nearby.

 the LondonTrajectoriesDataset.zip trace

 how to cite this traceset

Leonardo Solé Rodrigues, Matteo Sammarco, Marcin Detyniecki, Miguel Elias M. Campista, CRAWDAD dataset ufrj/london‑trajectories (v. 2021‑03‑22), traceset: trajectoriesgps, downloaded from https://crawdad.org/ufrj/london‑trajectories/2021‑03‑22/trajectoriesgps, https://doi.org/10.15783/ejej‑de94, Mar 2021.

@misc{ufrj-london-trajectories-2021-03-22,
    author = {Leonardo Solé Rodrigues and Matteo Sammarco and Marcin Detyniecki and Miguel Elias M. Campista},
    title = {{CRAWDAD} dataset ufrj/london-trajectories (v. 2021-03-22)},
    howpublished = {Downloaded from \url{https://crawdad.org/ufrj/london-trajectories/2021-03-22/trajectoriesgps}},
    note = {traceset: trajectoriesgps},
    doi = {10.15783/ejej-de94},
    month = mar,
    year = 2021
}

TY  - DATA
TI  - CRAWDAD dataset ufrj/london-trajectories (v. 2021-03-22)
T2  - traceset: trajectoriesgps
UR  - https://crawdad.org/ufrj/london-trajectories/2021-03-22/trajectoriesgps
PY  - 2021/03/22/
AU  - Leonardo Solé Rodrigues
AU  - Matteo Sammarco
AU  - Marcin Detyniecki
AU  - Miguel Elias M. Campista
DO  - 10.15783/ejej-de94
ER  -