Adopting Machine Learning Methods to Predict Red-light Running Violations. - Arash Jahangiri; Hesham A. Rakha; Thomas A. Dingus (ITSC, 2015)

Applying Machine Learning Techniques to Transportation Mode Recognition Using Mobile Phone Sensor Data. - Arash Jahangiri; Hesham A. Rakha (IEEE Trans. Intell. Transp. Syst., 2015)

Investigating cyclist violations at signal-controlled intersections using naturalistic cycling data. - Arash Jahangiri; Mohammed Elhenawy; Hesham Rakha; Thomas A. Dingus (ITSC, 2016)

Multi-class US traffic signs 3D recognition and localization via image-based point cloud model using color candidate extraction and texture-based recognition. - Vahid Balali; Arash Jahangiri; Sahar Ghanipoor Machiani (Adv. Eng. Informatics, 2017)

Developing Models for Matching of Short-term and Long-term Data Collection Sites to Improve the Estimation of Average Annual Daily Bicyclists. - Mahdie Hasani; Arash Jahangiri; Sahar Ghanipoor Machiani (ITSC, 2018)

Application of Real Field Connected Vehicle Data for Aggressive Driving Identification on Horizontal Curves. - Arash Jahangiri; Vincent J. Berardi; Sahar Ghanipoor Machiani (IEEE Trans. Intell. Transp. Syst., 2018)

Iterative DBSCAN (I-DBSCAN) to Identify Aggressive Driving Behaviors within Unlabeled Real-World Driving Data. - Charles Marks; Arash Jahangiri; Sahar Ghanipoor Machiani (ITSC, 2019)

Impact of Narrow Lanes on Arterial Road Vehicle Crashes: A Machine Learning Approach. - Mohammed Elhenawy; Arash Jahangiri; Hesham Rakha (CoRR, 2019)

Utilizing B-Spline Curves and Neural Networks for Vehicle Trajectory Prediction in an Inverse Reinforcement Learning Framework. - Mohammad Sadegh Jazayeri; Arash Jahangiri (J. Sens. Actuator Networks, 2022)