Tamer Bataineh

Research Topic:

Establish a LiDAR-based system to categorize driver behavior in real time utilizing trajectory characteristics (speed, acceleration, jerk, headway) with LSTM/Transformer models. Extract high-resolution surrogate safety metrics (TTC, PET, DRAC) using LiDAR trajectories and confirm them with crash data for proactive safety evaluation. Calibrate VISSIM with trajectory-level LiDAR data by optimizing Wiedemann parameters via inverse modeling to enhance simulation accuracy.

Mohammad Soltanirad

Research Topic:

Surrogate Safety Measures (SSMs) in traffic safety analysis using LiDAR-based vehicle trajectory data, Traffic Safety, Traffic Operation and Control, Intelligent Transportation Systems, and Big Data Analytics.

Keshav Jimee

Research Topic:

AI-Driven Analysis of Driver Indecision in Dilemma Zones: LiDAR-Based Insights for Intersection Safety and Autonomous Vehicles.

Carolina Fontalvo

Research Topic:

Develop LiDAR-based algorithms for traffic monitoring, focusing on precision, performance, and adaptability.

Martin Lucero

Rupak Khadka

Yuchen Li