Alben Bagabaldo
Alben Bagabaldo
Transportation Data Scientist & Research Engineer
Building data-driven systems that make transportation networks smarter, safer, and more resilient — from AI-powered traffic control to electric bus fleet optimization.
During the ASCE International Conference on Transportation & Development (ICTD) 2025 in Glendale, Arizona (June 8–11), I presented our research “Improving Pedestrian Safety at Intersections Using Probabilistic Models and Monte Carlo Simulations.” The work integrates traffic light status, vehicle proximity, and pedestrian waiting times into a simulation framework, revealing critical safety vulnerabilities — including heightened risks during yellow light phases and red-light transitions. Using the Intelligent Driver Model, we simulated hundreds of realistic crossing events and identified actionable design strategies: pedestrian-triggered signals, refined light timing, and all-red buffer intervals. The findings offer clear guidance for urban planners and traffic engineers building smarter, safer intersections.
Presenting at ASCE ICTD 2025, Glendale, AZ
Rutgers University – New Brunswick
Room 428B, Richard Weeks Hall of Engineering
500 Bartholomew Rd, Piscataway, NJ 08854
