most citedA Deep Neural Networks Approach for Pixel-Level Runway Pavement Crack Segmentation Using Drone-Captured Images

16 citations · 25 across the 3 of their papers we have counts for

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eess.SP2020★ 4 cited

Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles -- A Deep Reinforcement Learning Approach

Liming Jiang, Yuanchang Xie, Danjue Chen +2

Stop-and-go traffic poses many challenges to tranportation system, but its formation and mechanism are still under exploration.however, it has been proved that by introducing Conne…

eess.SP2020★ 5 cited

Cooperative Highway Work Zone Merge Control based on Reinforcement Learning in A Connected and Automated Environment

Tianzhu Ren, Yuanchang Xie, Liming Jiang

Given the aging infrastructure and the anticipated growing number of highway work zones in the United States, it is important to investigate work zone merge control, which is criti…