Preprints
“Predictive Trajectory Planning for Vehicles at Intersections with Deep Reinforcement Learning “, Zhang, Ethan, Ruixuan Zhang, and Neda Masoud. (Coming soon)
Manuscripts
“Predicting Risky Driving in a Connected Vehicle Environment ” Zhang, Ethan, Neda Masoud, Mahdi Bandegi, and Rajesh K. Malhan. IEEE Transactions on Intelligent Transportation Systems , 2022
“Step Attention: Sequential Pedestrian Trajectory Prediction . ” Zhang, Ethan, Neda Masoud, Mahdi Bandegi, Joseph Lull, and Rajesh K. Malhan. IEEE Sensors Journal , 2022.
“A Learning-based Trajectory Prediction Approach for Heterogeneous Traffic Agents: Implications for Transfer Learning .” Zhang, Ethan, Sion Pizzi, and Neda Masoud. 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) , 2021.
“Increasing GPS Localization Accuracy With Reinforcement Learning .” Zhang, Ethan, and Neda Masoud. IEEE Transactions on Intelligent Transportation Systems , 2020.
“V2Xsim: A V2X Simulator for Connected and Automated Vehicle Environment Simulation . “ Zhang, Ethan, and Neda Masoud. 2020 IEEE International Intelligent Transportation Systems Conference (ITSC) , 2020.
“Parallel Computing Algorithm for Real-time Mapping between Large-scale Networks . ” Zhang, Ethan, Amirmahdi Tafreshian, and Neda Masoud. 2019 IEEE Intelligent Transportation Systems Conference (ITSC) , 2019.
Patents
“System for Predicting Aggressive Driving. ” Ethan Zhang, Neda Masoud, Wei Zhang, and Rajesh Kumar Malhan. US Patent App. 17/006,470 (2021)
“Sequential pedestrian trajectory prediction using step attention for collision avoidance “, Ethan Zhang, Neda Masoud and Rajesh Kumar Malhan, filed (2022).