Data Science for Transportation

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Top Publications

• Appraising Machine and Deep Learning Techniques for Traffic Conflict Prediction with Class Imbalance

  (2023)
  10 Citations

• Deep Learning-Based Computer Vision Methods for Complex Traffic Environments Perception: A Review

  (2024)
  9 Citations

• Exploring the Potentials of Open-Source Big Data and Machine Learning in Shared Mobility Fleet Utilization Prediction

  (2023)
  8 Citations

• Unlocking the Full Potential of Deep Learning in Traffic Forecasting Through Road Network Representations: A Critical Review

  (2023)
  6 Citations

• COVID-19 and Driving Behavior: Which Were the Most Crucial Influencing Factors?

  (2023)
  6 Citations

• Public Transport Commuting Analytics: A Longitudinal Study Based on GPS Tracking and Unsupervised Learning

  (2023)
  4 Citations

• A Probabilistic Simulation Framework to Assess the Impacts of Ridesharing and Congestion Charging in New York City

  (2023)
  3 Citations

• Mobility as a Resource (MaaR) for Resilient Human-Centric Automation – A Vision Paper

  (2024)
  0 Citations

• Intersection Type Classification from Connected Vehicle Data Using a Convolutional Neural Network

  (2024)
  0 Citations

• Impact of navigation apps on congestion and spread dynamics on a transportation network

  (2024)
  0 Citations