Exploring the Potential of Vehicle-to-Everything (V2X) Technology for Smarter Traffic Management in the Philippines

Traffic congestion remains a critical issue in the Philippines. Current traffic management systems, such as outdated fixed-timing signals, have proven ineffective as vehicle density continues to increase. Emerging technologies such as V2X communication offer the potential to improve traffic efficiency through real-time data exchange between vehicles and infrastructure. Despite its adoption in other countries, the Philippines lacks both the infrastructure and research necessary to evaluate the feasibility of V2X-based solutions. This study aimed to evaluate the effectiveness of adaptive traffic light control using V2X communication in alleviating traffic congestion within the University of the Philippines (UP) Diliman campus. A traffic and network simulation environment was used to model two scenarios under varying traffic conditions: one with V2X-enabled vehicles operating under adaptive signal control, and another using conventional fixed-time traffic signals. Real-world road layouts and estimated traffic parameters were incorporated to ensure realistic behavior. The V2X scenario demonstrated a significant reduction in vehicle waiting times and an increase in average travel speeds compared to the non-V2X scenario. These results indicate the potential of V2X technology to improve traffic flow in urban settings. This study provides a foundational simulation-based analysis of V2X implementation in the Philippine context. The findings suggest that further research-including simulations with partial V2X penetration rate, real-world traffic data, and broader communication types-is essential to inform infrastructure development and smart transportation policy.