Examining the Impact of Motorcycles on Start-Up Time and Headway Distribution Features at Signalized Intersections in Smart Cities

¹ Laboratory of Computer Systems Engineering (LISI) Department of Computer Science Faculty of Science Cadi Ayyad University Marrakech Morocco
² LAMIGEP, EMSI Moroccan School of Engineering, Marrakesh, Morocco

^* Corresponding author: ayoub.charef@ced.uca.ma

Abstract

This study introduces the concept of smart cities to investigate the impact of motorcycle movements on start-up lost time at urban intersections. Employing a comprehensive methodology that combines data collection through camera phone technology with YoloV8 analysis, we analyse various traffic cycles to uncover a significant correlation between the predominant direction of motorcycle travel and start-up lost time dynamics. Our findings reveal that cycles with a majority of motorcycles turning right experience notably lower start-up lost times, suggesting a smoother integration of right-turning motorcycles into traffic flow. These insights underscore the importance of tailored intersection management strategies that account for direction-al preferences within mixed-vehicle flows. Optimizing traffic signal phasing to leverage the efficiency of right-turning motorcycles presents an opportunity to enhance intersection performance and overall traffic flow in urban environments. This study contributes valuable insights for the development of targeted traffic management policies aimed at alleviating congestion and improving mobility in smart cities.