Arash Jahangiri

According to our database, Arash Jahangiri authored at least 9 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

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

2019

Impact of Narrow Lanes on Arterial Road Vehicle Crashes: A Machine Learning Approach.

Mohammed Elhenawy, Arash Jahangiri, Hesham Rakha

CoRR, 2019

Iterative DBSCAN (I-DBSCAN) to Identify Aggressive Driving Behaviors within Unlabeled Real-World Driving Data.

Charles Marks, Arash Jahangiri, Sahar Ghanipoor Machiani

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

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

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

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

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

2016

Investigating cyclist violations at signal-controlled intersections using naturalistic cycling data.

Arash Jahangiri, Mohammed Elhenawy, Hesham Rakha, Thomas A. Dingus

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

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

Adopting Machine Learning Methods to Predict Red-light Running Violations.

Arash Jahangiri, Hesham A. Rakha, Thomas A. Dingus

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015