• Postdoctoral Associate · Rutgers University

    Alben
    Bagabaldo

    Transportation researcher | Civil & environmental engineering

    I study how people, information, and infrastructure shape urban mobility. My research brings together transportation systems, data science, and network modeling to understand congestion and advance safer, more reliable transportation.

    Urban mobility Transportation networks Traffic safety Data-driven methods
    Curriculum Vitae Google Scholar ORCID Email
    Alben Bagabaldo

    Information & mobility

    Examining how navigation applications affect congestion and its spread across transportation networks.

    Safety at intersections

    Using probabilistic modeling and simulation to study pedestrian risk at urban intersections.

    Data-driven transit planning

    Developing approaches to design transit routes using observed travel behavior.

  • Research & Publications

    My work investigates how data and computational methods can help explain and improve transportation systems. These selected publications and works in progress reflect a focus on urban mobility, traffic operations, safety, and transit planning.

    • Journal article · 2024 Bagabaldo, A. R., Gan, Q., Bayen, A., & Gonzalez, M. C. “Impact of Navigation Apps on Congestion and Spread Dynamics on a Transportation Network.” Data Science for Transportation. doi:10.1007/s42421-024-00099-w
    • Journal article · 2022 Chou, F.-C., Bagabaldo, A. R., & Bayen, A. “The Lord of the Ring Road: A Review and Evaluation of Autonomous Control Policies for Traffic in a Ring Road.” ACM Transactions on Cyber-Physical Systems. doi:10.1145/3494577
    • Conference paper · 2022 Bagabaldo, A. R., & Gonzalez, M. C. “Predicting Traffic Flow on Faulty Traffic Detectors Using Machine Learning Techniques.” International Conference on Transportation and Development. doi:10.1061/9780784484319.019
    • Journal article · 2017 Bagabaldo, A. R., Anosa, J., Gapusan, J., Soriano, K., Uy, F., & Bacero, R. “Determining the Potential Effects of the Proposed Removal of South Provincial Buses along EDSA Using Commuters’ Perception.” Journal of the Eastern Asia Society for Transportation Studies. doi:10.11175/easts.12.489
    • Conference paper · 2025 Bagabaldo, A. R., & Hackl, J. “Improving Pedestrian Safety at Intersections Using Probabilistic Models and Monte Carlo Simulations.” ASCE International Conference on Transportation & Development. ASCE paper · preprint
    • Preprint · 2025 “Digital Twins for Intelligent Intersections: A Literature Review.” arXiv:2510.05374
    • Manuscript Tang, Y., Alhadlaq, A., Bagabaldo, A. R., & Gonzalez, M. C. “Designing Transit Routes based on Vehicle Routing Behavior Determined through Location-Based Services Data.” EPJ Data Science. doi:10.1140/epjds/s13688-025-00559-5

  • I am a Postdoctoral Associate at Rutgers University with a Ph.D. in Civil and Environmental Engineering from UC Berkeley. My interdisciplinary research connects transportation engineering and data science to questions about how urban transportation systems operate and how they can better serve people.

    Education

    • 2024 — Ph.D., Civil & Environmental Engineering, University of California, Berkeley
    • 2016 — M.S., Civil Engineering (Transportation), Mapúa University
    • 2012 — B.S., Civil Engineering, cum laude, Southern Luzon State University

    Teaching

    • Guest lecture, 2024 — CE 295, Data Science for Energy, University of California, Berkeley. “A Review and Evaluation of Autonomous Control Strategies for Traffic in a Ring Road,” April 17, 2024.

    Selected Presentations

    • 2025 — “Improving Pedestrian Safety at Intersections Using Probabilistic Models and Monte Carlo Simulations.” ASCE International Conference on Transportation & Development.
    • 2022 — “Predicting Traffic Flow on Faulty Traffic Detectors Using Machine Learning Techniques.” International Conference on Transportation and Development.

    Research Areas

    • Urban mobility and transportation networks
    • Traffic operations, control, and congestion
    • Pedestrian safety and data-informed planning
    • Computational methods for transportation research

  • Research in Practice

    Research dissemination ASCE ICTD 2025

    Pedestrian safety research presented at ASCE ICTD

    At the 2025 ASCE International Conference on Transportation & Development, I presented work using probabilistic models and Monte Carlo simulation to examine pedestrian safety at intersections. The study considers signal phase, vehicle proximity, and pedestrian waiting time, and explores potential design strategies for safer crossings.

    Read the paper → View preprint
    Alben Bagabaldo presenting at ASCE ICTD 2025

    Presenting at ASCE ICTD 2025, Glendale, AZ

  • Rutgers University – New Brunswick
    Room 428B, Richard Weeks Hall of Engineering
    500 Bartholomew Rd, Piscataway, NJ 08854

    alben.bagabaldo@rutgers.edu +1 (510) 859-6310