Scipediacontent: Scipediacontent moved page Draft Content 546444702 to Shi Han 2015a

2021-01-28T18:07:48Z

Scipediacontent moved page Draft Content 546444702 to Shi Han 2015a

Scipediacontent: Created page with " == Abstract == In recent years, distinction and prediction of urban traffic congestion has become an important part of Intelligent Transportation System (ITS), hence attract..."

2021-01-28T18:07:43Z

Created page with " == Abstract == In recent years, distinction and prediction of urban traffic congestion has become an important part of Intelligent Transportation System (ITS), hence attract..."

New page

== Abstract ==

In recent years, distinction and prediction of urban traffic congestion has become an important part of Intelligent Transportation System (ITS), hence attracting more and more attentions. Road congestion can be predicted by analyzing traffic flow data collected by various data acquisition equipment primarily. However, existing methods not only need to store large amount of historical information, but has not enough suitability for large-scaled and changing traffic flows. Therefore, an online prediction method based on Random Forest (RF) is put forward in this paper and the prediction on congestions is made by real-time data instead of digging the historical data. Simulation and experiment results show that the design presented in this paper improves accuracy of predictions and it has a certain use value.

== Original document ==

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

* [http://dx.doi.org/10.2991/icmmcce-15.2015.518 http://dx.doi.org/10.2991/icmmcce-15.2015.518] under the license https://creativecommons.org/licenses/by-nc

* [https://download.atlantis-press.com/article/25845064.pdf https://download.atlantis-press.com/article/25845064.pdf]

* [https://www.atlantis-press.com/proceedings/icmmcce-15/25845064 https://www.atlantis-press.com/proceedings/icmmcce-15/25845064],
: [https://academic.microsoft.com/#/detail/2295586473 https://academic.microsoft.com/#/detail/2295586473] under the license cc-by-nc

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Shi Han 2015a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 546444702 to Shi Han 2015a

Scipediacontent: Created page with " == Abstract == In recent years, distinction and prediction of urban traffic congestion has become an important part of Intelligent Transportation System (ITS), hence attract..."