Cycling integration into traffic systems has surged in significance, prompting dedicated bicycle lane expansions at intersections to accommodate the growing cyclist volumes while ensuring traffic efficiency and safety. Addressing the priority of cyclists at signalized intersections presents a complex challenge, requiring the implementation of tailored traffic signals and control methods. While societies advocate for cyclist prioritization, the balance between cyclists and other traffic modes remains pivotal. Fuzzy logic is a promising tool for traffic signal control, with studies demonstrating its efficacy in prioritizing different road users and improving traffic operations. The research proposes a cycling priority strategy for isolated intersections, leveraging fuzzy logic to make high-quality decisions regarding cyclist priority while minimizing delay for all road users. The methodology involves developing a fuzzy logic-based cyclist priority strategy, utilizing input variables such as vehicle queue and cyclist queue to determine cyclist priority. Anticipated outcomes include improved cyclist priority, reduced delays, and enhanced intersection efficiency.    «

Cycling integration into traffic systems has surged in significance, prompting dedicated bicycle lane expansions at intersections to accommodate the growing cyclist volumes while ensuring traffic efficiency and safety. Addressing the priority of cyclists at signalized intersections presents a complex challenge, requiring the implementation of tailored traffic signals and control methods. While societies advocate for cyclist prioritization, the balance between cyclists and other traffic modes rem...    »