Scipediacontent: Scipediacontent moved page Draft Content 769426833 to Guidoni et al 2019a

2021-02-02T02:39:57Z

Scipediacontent moved page Draft Content 769426833 to Guidoni et al 2019a

Scipediacontent: Created page with " == Abstract == Problems related to traffic congestion and management have become common in many cities. Thus, vehicle re-routing methods have been proposed to minimize the c..."

2021-02-02T02:39:53Z

Created page with " == Abstract == Problems related to traffic congestion and management have become common in many cities. Thus, vehicle re-routing methods have been proposed to minimize the c..."

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== Abstract ==

Problems related to traffic congestion and management have become common in many cities. Thus, vehicle re-routing methods have been proposed to minimize the congestion. Some of these methods have applied machine learning techniques, more specifically classifiers, to verify road conditions and detect congestion. However, better results may be obtained by applying a classifier more suitable to domain. In this sense, this paper presents an evaluation of different classifiers applied to the identification of the level of road congestion. Our main goal is to analyze the characteristics of each classifier in this task. The classifiers involved in the experiments here are: Multiple Layer Neural Network (MLP), K-Nearest Neighbors (KNN), Decision Trees (J48), Support Vector Machines (SVM), Naive Bayes and Tree Augment Naive Bayes.

== Original document ==

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

* [https://sol.sbc.org.br/index.php/eniac/article/download/9290/9192 https://sol.sbc.org.br/index.php/eniac/article/download/9290/9192]

* [https://sol.sbc.org.br/index.php/eniac/article/download/9290/9192 https://sol.sbc.org.br/index.php/eniac/article/download/9290/9192],
: [http://dx.doi.org/10.5753/eniac.2019.9290 http://dx.doi.org/10.5753/eniac.2019.9290]

* [https://sol.sbc.org.br/index.php/eniac/article/download/9290/9192 https://sol.sbc.org.br/index.php/eniac/article/download/9290/9192],
: [https://academic.microsoft.com/#/detail/3011928825 https://academic.microsoft.com/#/detail/3011928825]

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Guidoni et al 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 769426833 to Guidoni et al 2019a

Scipediacontent: Created page with " == Abstract == Problems related to traffic congestion and management have become common in many cities. Thus, vehicle re-routing methods have been proposed to minimize the c..."