Scipediacontent: Scipediacontent moved page Draft Content 220305607 to Gu et al 2016a

2021-02-03T18:31:55Z

Scipediacontent moved page Draft Content 220305607 to Gu et al 2016a

Scipediacontent: Created page with " == Abstract == Traffic congestion is a major concern in many cities around the world. Previous work mainly focuses on the prediction of congestion and analysis of traffic fl..."

2021-02-03T18:31:52Z

Created page with " == Abstract == Traffic congestion is a major concern in many cities around the world. Previous work mainly focuses on the prediction of congestion and analysis of traffic fl..."

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== Abstract ==

Traffic congestion is a major concern in many cities around the world. Previous work mainly focuses on the prediction of congestion and analysis of traffic flows, while the congestion correlation between road segments has not been studied yet. In this paper, we propose a three-phase framework to study the congestion correlation between road segments from multiple real world data. In the first phase, we extract congestion information on each road segment from GPS trajectories of over 10,000 taxis, define congestion correlation and propose a corresponding mining algorithm to find out all the existing correlations. In the second phase, we extract various features on each pair of road segments from road network and POI data. In the last phase, the results of the first two phases are input into several classifiers to predict congestion correlation. We further analyze the important features and evaluate the results of the trained classifiers. We found some important patterns that lead to a high/low congestion correlation, and they can facilitate building various transportation applications. The proposed techniques in our framework are general, and can be applied to other pairwise correlation analysis.

== Original document ==

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

* [http://ira.lib.polyu.edu.hk/bitstream/10397/67009/1/Wang_Multiple_Faulty_GNSS.pdf http://ira.lib.polyu.edu.hk/bitstream/10397/67009/1/Wang_Multiple_Faulty_GNSS.pdf]

* [http://xplorestaging.ieee.org/ielx7/7499653/7501656/07501704.pdf?arnumber=7501704 http://xplorestaging.ieee.org/ielx7/7499653/7501656/07501704.pdf?arnumber=7501704],
: [http://dx.doi.org/10.1109/smartcomp.2016.7501704 http://dx.doi.org/10.1109/smartcomp.2016.7501704]

* [https://researchbank.rmit.edu.au/view/rmit:39126 https://researchbank.rmit.edu.au/view/rmit:39126],
: [http://ira.lib.polyu.edu.hk/bitstream/10397/67009/1/Wang_Multiple_Faulty_GNSS.pdf http://ira.lib.polyu.edu.hk/bitstream/10397/67009/1/Wang_Multiple_Faulty_GNSS.pdf],
: [https://dblp.uni-trier.de/db/conf/smartcomp/smartcomp2016.html#WangCLG16 https://dblp.uni-trier.de/db/conf/smartcomp/smartcomp2016.html#WangCLG16],
: [https://ieeexplore.ieee.org/document/7501704 https://ieeexplore.ieee.org/document/7501704],
: [https://academic.microsoft.com/#/detail/2484665488 https://academic.microsoft.com/#/detail/2484665488]

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Gu et al 2016a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 220305607 to Gu et al 2016a

Scipediacontent: Created page with " == Abstract == Traffic congestion is a major concern in many cities around the world. Previous work mainly focuses on the prediction of congestion and analysis of traffic fl..."