Use of mobile phone data for determining multimodal traffic
With cities growing, a large number of movements are made every day, including those going to or from the workplace. Such movements data are often difficult to retrieve and understand without compromising on privacy but is essential for city planners to plan their development. This project proposes...
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sg-ntu-dr.10356-742072023-03-03T20:30:19Z Use of mobile phone data for determining multimodal traffic Prawirodidjojo, Eric Valega Lee Bu Sung, Francis School of Computer Science and Engineering DRNTU::Engineering With cities growing, a large number of movements are made every day, including those going to or from the workplace. Such movements data are often difficult to retrieve and understand without compromising on privacy but is essential for city planners to plan their development. This project proposes using an aggregated mobile phone tracking data to analyse movement patterns to and from La Défense, which does not contain any personal detail yet provide sufficient granularity to understand movement patterns over time on a given day. This project incorporates data from the aggregated mobile phone tracking data as well as train station data to understand how people travel to and from La Défense using the public train services. The project has partially completed its aims, mainly as the findings are still not usable for the commuters. Bachelor of Engineering (Computer Science) 2018-05-08T05:38:09Z 2018-05-08T05:38:09Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74207 en Nanyang Technological University 35 p. application/pdf |
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DRNTU::Engineering Prawirodidjojo, Eric Valega Use of mobile phone data for determining multimodal traffic |
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With cities growing, a large number of movements are made every day, including those going to or from the workplace. Such movements data are often difficult to retrieve and understand without compromising on privacy but is essential for city planners to plan their development.
This project proposes using an aggregated mobile phone tracking data to analyse movement patterns to and from La Défense, which does not contain any personal detail yet provide sufficient granularity to understand movement patterns over time on a given day. This project incorporates data from the aggregated mobile phone tracking data as well as train station data to understand how people travel to and from La Défense using the public train services. The project has partially completed its aims, mainly as the findings are still not usable for the commuters. |
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Lee Bu Sung, Francis |
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Lee Bu Sung, Francis Prawirodidjojo, Eric Valega |
format |
Final Year Project |
author |
Prawirodidjojo, Eric Valega |
author_sort |
Prawirodidjojo, Eric Valega |
title |
Use of mobile phone data for determining multimodal traffic |
title_short |
Use of mobile phone data for determining multimodal traffic |
title_full |
Use of mobile phone data for determining multimodal traffic |
title_fullStr |
Use of mobile phone data for determining multimodal traffic |
title_full_unstemmed |
Use of mobile phone data for determining multimodal traffic |
title_sort |
use of mobile phone data for determining multimodal traffic |
publishDate |
2018 |
url |
http://hdl.handle.net/10356/74207 |
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1759858201901137920 |