Scipediacontent: Scipediacontent moved page Draft Content 434566225 to Ban Gruteser 2012a

2021-02-02T01:52:02Z

Scipediacontent moved page Draft Content 434566225 to Ban Gruteser 2012a

Scipediacontent: Created page with " == Abstract == We introduce our vision for mining fine-grained urban traffic knowledge from mobile sensing, especially GPS location traces. Beyond characterizing human mobil..."

2021-02-02T01:51:56Z

Created page with " == Abstract == We introduce our vision for mining fine-grained urban traffic knowledge from mobile sensing, especially GPS location traces. Beyond characterizing human mobil..."

New page

== Abstract ==

We introduce our vision for mining fine-grained urban traffic knowledge from mobile sensing, especially GPS location traces. Beyond characterizing human mobility patterns and measuring traffic congestion, we show how mobile sensing can also reveal details such as intersection performance statistics that are useful for optimizing the timing of a traffic signal. Realizing such applications requires co-designing privacy protection algorithms and novel traffic modeling techniques so that the needs for privacy preserving and traffic modeling can be simultaneously satisfied. We explore privacy algorithms based on the virtual trip lines (VTL) concept to regulate where and when the mobile data should be collected. The traffic modeling techniques feature an integration of traffic principles and learning/optimization techniques. The proposed methods are illustrated using two case studies for extracting traffic knowledge for urban signalized intersection.

== Original document ==

The different versions of the original document can be found in:

* [http://www.winlab.rutgers.edu/%7Egruteser/papers/urbTraffic_v12.pdf http://www.winlab.rutgers.edu/%7Egruteser/papers/urbTraffic_v12.pdf]

* [https://www.cs.uic.edu/~urbcomp2012/papers/UrbComp2012_Paper13_Ban.pdf https://www.cs.uic.edu/~urbcomp2012/papers/UrbComp2012_Paper13_Ban.pdf],
: [https://core.ac.uk/display/103554559 https://core.ac.uk/display/103554559],
: [https://dblp.uni-trier.de/db/conf/kdd/urbcomp2012.html#BanG12 https://dblp.uni-trier.de/db/conf/kdd/urbcomp2012.html#BanG12],
: [https://dl.acm.org/ft_gateway.cfm?id=2346514&ftid=1272427&dwn=1 https://dl.acm.org/ft_gateway.cfm?id=2346514&ftid=1272427&dwn=1],
: [https://doi.org/10.1145/2346496.2346514 https://doi.org/10.1145/2346496.2346514],
: [http://csce.uark.edu/~tingxiny/courses/5013sp14/reading/Ban2012TFU2346496.2346514.pdf http://csce.uark.edu/~tingxiny/courses/5013sp14/reading/Ban2012TFU2346496.2346514.pdf],
: [http://www.cs.uic.edu/~urbcomp2012/papers/UrbComp2012_Paper13_Ban.pdf http://www.cs.uic.edu/~urbcomp2012/papers/UrbComp2012_Paper13_Ban.pdf],
: [https://academic.microsoft.com/#/detail/2010335233 https://academic.microsoft.com/#/detail/2010335233]

* [http://dl.acm.org/ft_gateway.cfm?id=2346514&ftid=1272427&dwn=1 http://dl.acm.org/ft_gateway.cfm?id=2346514&ftid=1272427&dwn=1],
: [http://dx.doi.org/10.1145/2346496.2346514 http://dx.doi.org/10.1145/2346496.2346514]

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Ban Gruteser 2012a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 434566225 to Ban Gruteser 2012a

Scipediacontent: Created page with " == Abstract == We introduce our vision for mining fine-grained urban traffic knowledge from mobile sensing, especially GPS location traces. Beyond characterizing human mobil..."