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Crowdsourcing mobility insights

Ivana Semanjski UGent, Angel Javier Lopez Aguirre UGent, Dominique Gillis UGent, Johan De Mol UGent, Rik Bellens UGent, Bart De Wit UGent and Sidharta Gautama UGent (2015) ULM research day, Abstracts.
abstract
Crowdsourcing is changing the way mobility analyses are done. It provides big data streams of high spatio-temporal resolution, allowing advanced data analytics to be applied in order to capture mobility behavior and patterns. It enables us to learn from the data (e.g. to predict travel times or individuals’ mobility decision making process) but also to build innovative applications on top of this data stream. This poster presents some mobility insights developed based on the MOVE platform including personal mobility coaching via smartphone app, multimodal routing and simulation of the electric vehicle battery usage.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
crowdsourcing, mobility insight, big data
in
ULM research day, Abstracts
conference name
ULM research day
conference location
Antwerp, , Belgium
conference start
2015-09-16
conference end
2015-09-16
language
English
UGent publication?
yes
classification
C3
additional info
poster presentation
id
7025917
handle
http://hdl.handle.net/1854/LU-7025917
date created
2016-01-06 01:59:50
date last changed
2016-12-19 15:37:41
@inproceedings{7025917,
  abstract     = {Crowdsourcing is changing the way mobility analyses are done. It provides big data streams of high spatio-temporal resolution, allowing advanced data analytics to be applied in order to capture mobility behavior and patterns. It enables us to learn from the data (e.g. to predict travel times or individuals{\textquoteright} mobility decision making process) but also to build innovative applications on top of this data stream. This poster presents some mobility insights developed based on the MOVE platform including personal mobility coaching via smartphone app, multimodal routing and simulation of the electric vehicle battery usage.},
  author       = {Semanjski, Ivana and Lopez Aguirre, Angel Javier and Gillis, Dominique and De Mol, Johan and Bellens, Rik and De Wit, Bart and Gautama, Sidharta},
  booktitle    = {ULM research day, Abstracts},
  keyword      = {crowdsourcing,mobility insight,big data},
  language     = {eng},
  location     = {Antwerp, , Belgium},
  title        = {Crowdsourcing mobility insights},
  year         = {2015},
}

Chicago
Semanjski, Ivana, Angel Javier Lopez Aguirre, Dominique Gillis, Johan De Mol, Rik Bellens, Bart De Wit, and Sidharta Gautama. 2015. “Crowdsourcing Mobility Insights.” In ULM Research Day, Abstracts.
APA
Semanjski, I., Lopez Aguirre, A. J., Gillis, D., De Mol, J., Bellens, R., De Wit, B., & Gautama, S. (2015). Crowdsourcing mobility insights. ULM research day, Abstracts. Presented at the ULM research day.
Vancouver
1.
Semanjski I, Lopez Aguirre AJ, Gillis D, De Mol J, Bellens R, De Wit B, et al. Crowdsourcing mobility insights. ULM research day, Abstracts. 2015.
MLA
Semanjski, Ivana, Angel Javier Lopez Aguirre, Dominique Gillis, et al. “Crowdsourcing Mobility Insights.” ULM Research Day, Abstracts. 2015. Print.