Advances in Machine Learning & Artificial Intelligence(AMLAI)

Faculty of Engineering and Technology, Malaysia Multimedia Uni., 75450 Ayer Keroh, Malaysia

Publications

• Research Article   
  The Impact of Pedestrian Crossing at Unsignalized Intersection Using Machine Learning, Binary Logistic Regression, and NARX
  Author(s): Fajaruddin Mustakim*, Azlan Abdul Aziz, Mohammad Nazir Ahmad, Riza Sulaiman, Rabiah Abdul Kadir, Othman Che Puan and Muhammad Nizam Zakaria
  
  In 2024, Malaysia experienced a total of 532,125 road accidents and 5,364 fatalities. Meanwhile pedestrians recorded more than 550 casualties each year and consistently placed third rank after motorcyclist and passenger car. This study aims to analyze the influence of pedestrian crossing at selected unsignalized intersections during the vehicle’s manoeuvres. The eleven selected sites were based on blackspot location and the study focused on comparison between intersections with and without pedestrian bridge facility. In the early stage the study determined the pedestrian crossing characteristic throughout the day and the observations were concentrated on three peak hours which is the morning, midday, and afternoon. Next determine the frequency of traffic patterns involving pedestrian crossing (PC), traffic conflict (TC) and motorcycle crossing (MC). Traffic characteristic fluctu.. Read More»
  

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