Saeed Rahmani
Scholar

Saeed Rahmani

Google Scholar ID: H9yGoHcAAAAJ
PhD Candidate at Delft University of Technology
Automated VehiclesReinforcement LearningSimulationSafety VerificationOptimal Control
Citations & Impact
All-time
Citations
291
 
H-index
5
 
i10-index
1
 
Publications
20
 
Co-authors
27
list available
Resume (English only)
Academic Achievements
  • Studying human mobility using mobile phone data (2020–Present)
  • Hybrid neural network-based car-following model (2018–2020)
  • Studying driving behavior using vehicle trajectory data (2015–2017)
  • Spatiotemporal analysis of traffic accidents (2015–2017)
  • Spatial analysis of urban traffic crashes using semi-parametric geographically weighted Poisson regression
  • Studying walking mode choice and predicting walking duration in daily trips
Research Experience
  • Working as a traffic engineer and transportation planner since 2015
  • Currently serving as a data scientist at the Traffic Research Laboratory, Iran University of Science and Technology (IUST)
  • 2020–Present: Data analytics and visualization for Tehran ICT Organization, integrating multi-source transportation data including public transit AVL, mobile GPS, e-tickets, and traffic counters
  • 2019–Present: Integrated multi-modal public transport study in Shiraz, Iran, focusing on demand modeling and mobility pattern analysis using e-ticket data
  • 2017–2018: National road transportation network modeling for Iran, forecasting passenger and freight flows for the design year 1400 (2021), including OD matrix estimation and assignment
  • 2019–2020: Evaluation of Tehran’s Low Emission Zone congestion pricing policy using traffic counts, public transport data, and Google Maps traffic data