Scipediacontent: Scipediacontent moved page Draft Content 397658491 to White et al 2018a

2021-02-02T05:51:54Z

Scipediacontent moved page Draft Content 397658491 to White et al 2018a

Scipediacontent: Created page with " == Abstract == Non-recurring traffic congestion is caused by temporary disruptions, such as accidents, sports games, adverse weather, etc. We use data related to real-time t..."

2021-02-02T05:51:48Z

Created page with " == Abstract == Non-recurring traffic congestion is caused by temporary disruptions, such as accidents, sports games, adverse weather, etc. We use data related to real-time t..."

New page

== Abstract ==

Non-recurring traffic congestion is caused by temporary disruptions, such as accidents, sports games, adverse weather, etc. We use data related to real-time traffic speed, jam factors (a traffic congestion indicator), and events collected over a year from Nashville, TN to train a multi-layered deep neural network. The traffic dataset contains over 900 million data records. The network is thereafter used to classify the real-time data and identify anomalous operations. Compared with traditional approaches of using statistical or machine learning techniques, our model reaches an accuracy of 98.73 percent when identifying traffic congestion caused by football games. Our approach first encodes the traffic across a region as a scaled image. After that the image data from different timestamps is fused with event- and time-related data. Then a crossover operator is used as a data augmentation method to generate training datasets with more balanced classes. Finally, we use the receiver operating characteristic (ROC) analysis to tune the sensitivity of the classifier. We present the analysis of the training time and the inference time separately.

== Original document ==

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

* [http://arxiv.org/abs/1802.00002 http://arxiv.org/abs/1802.00002]

* [http://arxiv.org/pdf/1802.00002 http://arxiv.org/pdf/1802.00002]

* [http://xplorestaging.ieee.org/ielx7/8241556/8257893/08258162.pdf?arnumber=8258162 http://xplorestaging.ieee.org/ielx7/8241556/8257893/08258162.pdf?arnumber=8258162],
: [http://dx.doi.org/10.1109/bigdata.2017.8258162 http://dx.doi.org/10.1109/bigdata.2017.8258162]

* [https://dblp.uni-trier.de/db/journals/corr/corr1802.html#abs-1802-00002 https://dblp.uni-trier.de/db/journals/corr/corr1802.html#abs-1802-00002],
: [https://ieeexplore.ieee.org/document/8258162 https://ieeexplore.ieee.org/document/8258162],
: [https://academic.microsoft.com/#/detail/2963024417 https://academic.microsoft.com/#/detail/2963024417]

← Older revision	Revision as of 05:51, 2 February 2021
(No difference)

White et al 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 397658491 to White et al 2018a

Scipediacontent: Created page with " == Abstract == Non-recurring traffic congestion is caused by temporary disruptions, such as accidents, sports games, adverse weather, etc. We use data related to real-time t..."