Scipediacontent: Scipediacontent moved page Draft Content 604848349 to Wang et al 2013c

2021-02-16T11:13:22Z

Scipediacontent moved page Draft Content 604848349 to Wang et al 2013c

Scipediacontent: Created page with " == Abstract == In this work, we present an interactive system for visual analysis of urban traffic congestion based on GPS trajectories. For these trajectories we develop st..."

2021-02-16T11:13:18Z

Created page with " == Abstract == In this work, we present an interactive system for visual analysis of urban traffic congestion based on GPS trajectories. For these trajectories we develop st..."

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== Abstract ==

In this work, we present an interactive system for visual analysis of urban traffic congestion based on GPS trajectories. For these trajectories we develop strategies to extract and derive traffic jam information. After cleaning the trajectories, they are matched to a road network. Subsequently, traffic speed on each road segment is computed and traffic jam events are automatically detected. Spatially and temporally related events are concatenated in, so-called, traffic jam propagation graphs. These graphs form a high-level description of a traffic jam and its propagation in time and space. Our system provides multiple views for visually exploring and analyzing the traffic condition of a large city as a whole, on the level of propagation graphs, and on road segment level. Case studies with 24 days of taxi GPS trajectories collected in Beijing demonstrate the effectiveness of our system.

== Original document ==

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

* [http://dx.doi.org/10.1109/tvcg.2013.228 http://dx.doi.org/10.1109/tvcg.2013.228]

* [http://vis.pku.edu.cn/research/publication/vast13_trafficjam.pdf http://vis.pku.edu.cn/research/publication/vast13_trafficjam.pdf]

* [https://research.tue.nl/nl/publications/visual-traffic-jam-analysis-based-on-trajectory-data(195a9d2b-6a13-4a48-aaff-483f5a819502).html https://research.tue.nl/nl/publications/visual-traffic-jam-analysis-based-on-trajectory-data(195a9d2b-6a13-4a48-aaff-483f5a819502).html]

* [http://xplorestaging.ieee.org/ielx7/2945/6634084/06634174.pdf?arnumber=6634174 http://xplorestaging.ieee.org/ielx7/2945/6634084/06634174.pdf?arnumber=6634174],
: [http://dx.doi.org/10.1109/tvcg.2013.228 http://dx.doi.org/10.1109/tvcg.2013.228]

* [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6634174 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6634174],
: [https://www.ncbi.nlm.nih.gov/pubmed/24051782 https://www.ncbi.nlm.nih.gov/pubmed/24051782],
: [https://dblp.uni-trier.de/db/journals/tvcg/tvcg19.html#WangLYZW13 https://dblp.uni-trier.de/db/journals/tvcg/tvcg19.html#WangLYZW13],
: [http://vis.pku.edu.cn/visworkshop13/slides/zuchaowang_trafficjam.pdf http://vis.pku.edu.cn/visworkshop13/slides/zuchaowang_trafficjam.pdf],
: [https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2F195a9d2b-6a13-4a48-aaff-483f5a819502 https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2F195a9d2b-6a13-4a48-aaff-483f5a819502],
: [https://dl.acm.org/citation.cfm?id=2553802 https://dl.acm.org/citation.cfm?id=2553802],
: [http://ieeexplore.ieee.org/document/6634174 http://ieeexplore.ieee.org/document/6634174],
: [https://doi.org/10.1109/TVCG.2013.228 https://doi.org/10.1109/TVCG.2013.228],
: [http://or.nsfc.gov.cn/handle/00001903-5/346384 http://or.nsfc.gov.cn/handle/00001903-5/346384],
: [https://www.computer.org/csdl/trans/tg/2013/12/ttg2013122159.html https://www.computer.org/csdl/trans/tg/2013/12/ttg2013122159.html],
: [https://dx.doi.org/10.1109/TVCG.2013.228 https://dx.doi.org/10.1109/TVCG.2013.228],
: [https://www.safetylit.org/citations/index.php?fuseaction=citations.viewdetails&citationIds%5b%5d=citjournalarticle_413827_38 https://www.safetylit.org/citations/index.php?fuseaction=citations.viewdetails&citationIds%5b%5d=citjournalarticle_413827_38],
: [https://academic.microsoft.com/#/detail/1988726303 https://academic.microsoft.com/#/detail/1988726303]

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Wang et al 2013c - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 604848349 to Wang et al 2013c

Scipediacontent: Created page with " == Abstract == In this work, we present an interactive system for visual analysis of urban traffic congestion based on GPS trajectories. For these trajectories we develop st..."