Alben Bagabaldo

Alben Bagabaldo

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Alben Bagabaldo

Alben Bagabaldo

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  • Alben Bagabaldo

    Postdoctoral Research Associate
    Princeton University

    Download/View my CV.

    Welcome

    Resolving Phantom Traffic Congestion

    Analysis and evaluation of traffic control policies to improve road efficiency.

    Machine Learning in Traffic Management

    Use of ML to predict traffic flow and enhance accuracy on faulty detectors.

    Large-Scale Traffic Simulation

    Leading-edge techniques for simulating and calibrating urban traffic for improved modeling.

  • Selected Research Contributions

    • Machine Learning

      Machine Learning

      Predicting Traffic Flow on Faulty Detectors Using ML Techniques

    • Resolving Phantom Congestion

      Resolving Phantom Congestion

      Evaluation of Autonomous Control Policies for Ring Road Traffic

    • Traffic Simulation

      Traffic Simulation

      Microscopic Simulation for Accurate Urban Traffic Modeling

    • Pedestrian Safety

      Pedestrian Safety

      Improving Intersection Safety Using Probabilistic Models and Monte Carlo Simulations

  • Education

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

    Selected Publications

    • 2024 A.R. Bagabaldo, Q. Gan, A. Bayen, M.C. Gonzalez. “Impact of Navigation Apps on Congestion and Spread Dynamics on a Transportation Network.” Data Science for Transportation. doi:10.1007/s42421-024-00099-w
    • 2022 F.-C. Chou, A.R. Bagabaldo, A. Bayen. “The Lord of the Ring Road: A Review and Evaluation of Autonomous Control Policies for Traffic in a Ring Road.” ACM Trans. on Cyber-Physical Systems. doi:10.1145/3494577
    • 2017 A.R. Bagabaldo, J. Anosa, J. Gapusan, K. Soriano, F. Uy, R. Bacero. “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
    • In review: Y. Tang, A. Alhadlaq, A.R. Bagabaldo, M.C. Gonzalez. “Designing Transit Routes based on Vehicle Routing Behavior Determined through Location-Based Services Data.” EPJ Data Science. doi:10.21203/rs.3.rs-5891341/v1

    Conference Presentations & Invited Talks

    • 2025 A.R. Bagabaldo & J. Hackl. “Improving Pedestrian Safety at Intersections Using Probabilistic Models and Monte Carlo Simulations.” International Conference on Transportation and Development (Oral, accepted). Preprint: arXiv:2503.07805
    • 2022 A.R. Bagabaldo & M.C. Gonzalez. “Predicting Traffic Flow on Faulty Traffic Detectors Using Machine Learning Techniques.” International Conference on Transportation and Development. doi:10.1061/9780784484319.019
    • 2024 A.R. Bagabaldo. “Guest Lecture in CE 295 - Data Science for Energy: A Review and Evaluation of Autonomous Control Strategies for Traffic in a Ring Road (Spring 2024)” UC Berkeley, April 17, 2024.
    • 2017 A.R. Bagabaldo. “Media Interview – The Service Road by James Deakin.” CNN Philippines, aired May 31, 2017.
  • Princeton University
    Room E316, E-Quad, 54 Olden Street,
    Princeton, NJ 08544

    alben@princeton.edu +1-510-859-6310
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