Dec 7, 2022 · Next, the random forest (RF) algorithm is applied to select feature variables of text data related to the traffic incident duration. Last, a ...
At the same time, the proposed model performed best for durations between 20 and 70 min. Finally, the data acquisition was defined as three phases, and a phased ...
May 31, 2018 · Shen L, Huang M (2011) Data mining method for incident duration prediction. Appl Inform Commun Commun Comput Inf Sci 224(1):484–492. Article ...
In comparison to the above-mentioned traditional parametric models, some studies tried to apply. Data Mining techniques to analyze incident duration, such as ...
Sep 19, 2022 · Abstract:Predicting the traffic incident duration is a hard problem to solve due to the stochastic nature of incident occurrence in space ...
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In the past several decades, a lot of methods have been proposed in modeling or predicting clearance time of incident duration. Methodologically, these methods ...
A pre-processing scheme of accident duration data is established. Finally, from the perspective of model, sample and parameter diversity, we use XGBoost, ...
time estimation and prediction methods developed based on various data ... Shen L, Huang M (2011) Data mining method for incident duration prediction ...
Jun 21, 2011 · and data fusion techniques to forecast incident duration. Recently ... Data Mining and Knowledge Discovery, 2, pp. 345-389. Nam, D ...
Effective traffic incident management requires integrating intelligent traffic systems, information dissemination, and the accurate prediction of incident ...