A Deep Neural Networks Approach for Pixel-Level Runway Pavement Crack Segmentation Using Drone-Captured Images. - Liming Jiang 004; Yuanchang Xie; Tianzhu Ren (CoRR, 2020)

Cooperative Highway Work Zone Merge Control based on Reinforcement Learning in A Connected and Automated Environment. - Tianzhu Ren; Yuanchang Xie; Liming Jiang 004 (CoRR, 2020)

Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles - A Deep Reinforcement Learning Approach. - Liming Jiang 004; Yuanchang Xie; Danjue Chen; Tienan Li; Nicholas G. Evans (CoRR, 2020)

Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles - A Deep Reinforcement Learning Approach. - Liming Jiang 004; Yuanchang Xie; Xiao Wen; Danjue Chen; Tienan Li; Nicholas G. Evans (MT-ITS, 2021)

New England merge: a novel cooperative merge control method for improving highway work zone mobility and safety. - Tianzhu Ren; Yuanchang Xie; Liming Jiang 004 (J. Intell. Transp. Syst., 2021)

DMA-Net: DeepLab With Multi-Scale Attention for Pavement Crack Segmentation. - Xinzi Sun; Yuanchang Xie; Liming Jiang 004; Yu Cao 002; Benyuan Liu (IEEE Trans. Intell. Transp. Syst., 2022)

Empirical study of a cooperative longitudinal control for merging maneuvers considering courtesy and mixed autonomy. - Liming Jiang 004; Yuanchang Xie; Nicholas G. Evans; Danjue Chen (J. Intell. Transp. Syst., 2024)