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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Main Author: Prawirodidjojo, Eric Valega
Other Authors: Lee Bu Sung, Francis
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/74207
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Prawirodidjojo, Eric Valega
Use of mobile phone data for determining multimodal traffic
description 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.
author2 Lee Bu Sung, Francis
author_facet 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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