Scipediacontent: Scipediacontent moved page Draft Content 380097445 to Ozbayoglu et al 2017a

2021-02-03T20:18:40Z

Scipediacontent moved page Draft Content 380097445 to Ozbayoglu et al 2017a

Scipediacontent: Created page with " == Abstract == Due to increasing urban population and growing number of motor vehicles, traffic congestion is becoming a major problem of the 21st century. One of the main r..."

2021-02-03T20:18:37Z

Created page with " == Abstract == Due to increasing urban population and growing number of motor vehicles, traffic congestion is becoming a major problem of the 21st century. One of the main r..."

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== Abstract ==

Due to increasing urban population and growing number of motor vehicles, traffic congestion is becoming a major problem of the 21st century. One of the main reasons behind traffic congestion is accidents which can not only result in casualties and losses for the participants, but also in wasted and lost time for the others that are stuck behind the wheels. Early detection of an accident can save lives, provides quicker road openings, hence decreases wasted time and resources, and increases efficiency. In this study, we propose a preliminary real-time autonomous accident-detection system based on computational intelligence techniques. Istanbul City traffic-flow data for the year 2015 from various sensor locations are populated using big data processing methodologies. The extracted features are then fed into a nearest neighbor model, a regression tree, and a feed-forward neural network model. For the output, the possibility of an occurrence of an accident is predicted. The results indicate that even though the number of false alarms dominates the real accident cases, the system can still provide useful information that can be used for status verification and early reaction to possible accidents.

== Original document ==

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

* [http://arxiv.org/abs/1712.09227 http://arxiv.org/abs/1712.09227]

* [http://arxiv.org/pdf/1712.09227 http://arxiv.org/pdf/1712.09227]

* [http://xplorestaging.ieee.org/ielx7/7818133/7840573/07840798.pdf?arnumber=7840798 http://xplorestaging.ieee.org/ielx7/7818133/7840573/07840798.pdf?arnumber=7840798],
: [http://dx.doi.org/10.1109/bigdata.2016.7840798 http://dx.doi.org/10.1109/bigdata.2016.7840798]

* [https://dblp.uni-trier.de/db/journals/corr/corr1712.html#abs-1712-09227 https://dblp.uni-trier.de/db/journals/corr/corr1712.html#abs-1712-09227],
: [https://arxiv.org/pdf/1712.09227.pdf https://arxiv.org/pdf/1712.09227.pdf],
: [https://ieeexplore.ieee.org/document/7840798 https://ieeexplore.ieee.org/document/7840798],
: [https://export.arxiv.org/pdf/1712.09227 https://export.arxiv.org/pdf/1712.09227],
: [https://arxiv.org/abs/1712.09227v1 https://arxiv.org/abs/1712.09227v1],
: [http://ieeexplore.ieee.org/document/7840798 http://ieeexplore.ieee.org/document/7840798],
: [https://fr.arxiv.org/pdf/1712.09227 https://fr.arxiv.org/pdf/1712.09227],
: [https://fr.arxiv.org/abs/1712.09227 https://fr.arxiv.org/abs/1712.09227],
: [http://export.arxiv.org/abs/1712.09227 http://export.arxiv.org/abs/1712.09227],
: [https://arxiv-export-lb.library.cornell.edu/abs/1712.09227 https://arxiv-export-lb.library.cornell.edu/abs/1712.09227],
: [https://academic.microsoft.com/#/detail/2583901265 https://academic.microsoft.com/#/detail/2583901265]

← Older revision	Revision as of 20:18, 3 February 2021
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Ozbayoglu et al 2017a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 380097445 to Ozbayoglu et al 2017a

Scipediacontent: Created page with " == Abstract == Due to increasing urban population and growing number of motor vehicles, traffic congestion is becoming a major problem of the 21st century. One of the main r..."