Qiangqiang Guo receives First Place in Student AI Competition organized by ASCE
Qiangqiang Guo, a fifth year Ph.D. student of iUTS, led a student team (Ohay Angah, Zhijun Liu) to win the First Place in the Student Research Competition on Artificial Intelligence Enabled Next Generation Transportation Systems, organized by the Artificial Intelligence in Transportation Committee of ASCE Transportation & Development Institute. His work, titled Hybrid deep reinforcement learning based eco-driving for low-level connected and automated vehicles along signalized corridors, focuses on applying RL methods for AV control to save energy and improve safety. The paper has been published by Transportation Research Part C in 2021: https://www.sciencedirect.com/science/article/abs/pii/S0968090X21000164.
Congratulations to Qiangqiang and the team!
