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This study investigates the development of an incident duration prediction model based on a detailed historical incident database. A data mining technique, ...
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This study investigates the development of an incident duration prediction model based on a detailed historical incident database and suggests that the ...
Abstract. Traffic incident management and information dissemination strategies will benefit from the prediction of incident duration in real time. This.
This study investigates the development of an incident duration prediction model based on a detailed historical incident database. A data mining technique, ...
A data mining technique, namely the Bayesian Network (BN) method is applied to develop incident duration prediction models. Based on the sequence of the ...
Dec 12, 2022 · This paper uses text data fusing and ensemble learning algorithms to build a model to predict an accident's duration, and a preprocessing scheme ...
Jul 14, 2022 · This paper presents a novel method for immediate prediction of traffic incident duration using an emerging supervised topic modeling. The ...
Sep 19, 2022 · This paper proposes a new fusion framework for predicting the incident duration from limited information by using an integration of machine ...
Predicting the duration of motorway incidents using machine learning
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Feb 19, 2024 · Valenti et al. [23] compared five machine learning methods to examine their ability to predict the duration of incidents. They investigated the ...
This paper proposed a novel bi-level framework for predicting the incident durations via a unique combination of baseline machine learning models (for both ...