Master thesis

• 2017: Roosta, A., Design of an adaptive traffic control method to reduce air pollution in congested urban networks, Master’s Thesis. Tehran, Iran, TMU: Tarbiat Modares University. Supervisor: Dr. Amin Ramezani, TMU

Peer-Reviewed Conference Papers

• 2023: Kaths, H., Roosta, A.: "A Framework for Simulating Cyclists in SUMO", SUMO Conference Proceedings , 4 , 105–113. https://doi.org/10.52825/scp.v4i.219
• 2023: Roosta, A., Kaths, H., Barthauer, M., Erdmann, J., Flötteröd, Y., Behrisch, M.: "The State of Bicycle Modeling in SUMO", SUMO Conference Proceedings , 4 , 55--64. https://doi.org/10.52825/scp.v4i.215

Title:
Prediction of cyclists' trajectories in urban intersections

Keywords:
Bicycling, Trajectory, Intersections, Heatmap, Cyclist behavior

Abstract:
Understanding patterns of behavior and interactions of road users with the infrastructure and each other is essential in enhancing design of traditional and intelligent infrastructure. My research's aim is to understand cyclist trajectory patterns at intersections. Using video data from real-world observations and our work on creating virtual environments, I'm developing a deep-learning model to describe how street features shape cyclists' movement patterns. The ultimate goal is to  predict cyclist behavior in intersections by estimating the cyclist trajectory heatmaps, offering a practical method for improving road design and safety. This research is intended to benefit the broader community of researchers in bicycle traffic, road safety, and connected vehicles and infrastructure.