The Green Light Dilemma: What Influences Driver Decisions at Signalized Intersections?

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Road traffic accidents remain a major global issue, with intersections accounting for nearly 50% of traffic accidents. Thus, this study examines driver decision-making at signalized intersections using the MNL model, incorporating respondents’ attributes and latent variables from the MIMIC model. The findings indicate that male, younger, and motorcycle drivers are more likely to accelerate or proceed cautiously, whereas older and more educated drivers tend to stop. Self-employed traders and lower-income drivers exhibit a higher likelihood of accelerating, often due to time constraints and financial pressures. External factors, such as peer behavior and weak enforcement, further contribute to risky decisions, emphasizing the need for stricter regulations. Drivers supporting enforcement measures are more likely to stop. To enhance intersection safety, recommendations include increased police presence, automated enforcement cameras, targeted awareness campaigns, extended yellow-light phases, and improved road safety education. Implementing these measures can reduce violations and improve overall traffic safety.