Titherington, Thomas (2020) Mobility traces analysis: Studying mobility patterns, allowing insight into the operation of a smart city. Bachelor's Thesis, Computing Science.
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Abstract
Now that smartphones and smart devices are ubiquitous in everyday life, these devices are constantly monitoring their diverse environments. From your mobile phone calculating the number of steps you have walked today, to a climate control system found in your home. The advancements and maturation of these devices now allow us to collect and analyse a huge amount of varied data, leading to interesting and sometimes surprising results. This project analyses the T-Drive data set provided by the Microsoft Research team, which contains the one-week trajectories of 10,357 taxis. The project proposes a framework that can be used to study large vehicular trajectory data sets, providing inferences on the mobility patterns within. Specifically, we show how these patterns can be used in the context of a smart city by using the taxi trajectories to create bus stops.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Koldehofe, B. and Degeler, V. |
| Degree programme: | Computing Science |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 28 Jul 2020 12:37 |
| Last Modified: | 28 Jul 2020 12:37 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/22894 |
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