3 days ago · This research presents a comprehensive machine learning approach to predicting the duration of traffic incidents, classifying them as short-term or ...

Feb 10, 2024 · A hybrid method for traffic incident duration prediction using BOA-optimized random forest combined with neighborhood components analysis. Hamad K. Al-Ruzouq R.

Nov 25, 2023 · The Naïve Bayes Algorithm is used for incident prediction and forecast, by utilizing this algorithm, TIPCS can accurately predict and classify incidents at 70. ...

Aug 26, 2023 · The proposed methodology integrates traffic incident-related factors and real-time traffic flow parameters to predict the residual traffic incident duration. To ...

May 14, 2024 · In summary, the road accident prediction model powered by data mining techniques serves as a multifaceted tool for enhancing road safety, mitigating accident- ...

Dec 19, 2023 · In this paper, we have studied the inter relationships between road accidents, condition of a road and the role of environmental factors in the occurrence of an ...

May 18, 2024 · Different statistical methods and machine learning methods have been applied in traffic incident duration prediction, including tree-based method (Lin et al., ...

Nov 7, 2023 · These models are used for proactive stationing in order to reduce overall response time. Traditional methods simply aggregate past incidents over space and time ...

Oct 31, 2023 · Data mining can help manage traffic by analysing traffic flow to optimize signals, identifying accident-prone areas for safety measures, and predicting traffic ...

Aug 26, 2023 · This paper proposes a probabilistic method to estimate the disruption impact duration using smartcard data, explores statistical and machine learning models to ...