Velocity control strategies to improve automated vehicle driving comfort Y Du, C Liu, Y Li IEEE Intelligent transportation systems magazine 10 (1), 8-18, 2018 | 98 | 2018 |
Large-scale pavement roughness measurements with vehicle crowdsourced data using semi-supervised learning C Liu, D Wu, Y Li, Y Du Transportation Research Part C: Emerging Technologies 125, 103048, 2021 | 88 | 2021 |
Cross‐scene pavement distress detection by a novel transfer learning framework Y Li, P Che, C Liu, D Wu, Y Du Computer‐Aided Civil and Infrastructure Engineering 36 (11), 1398-1415, 2021 | 85 | 2021 |
Rapid estimation of road friction for anti-skid autonomous driving Y Du, C Liu, Y Song, Y Li, Y Shen IEEE transactions on intelligent transportation systems 21 (6), 2461-2470, 2019 | 61 | 2019 |
Deep learning-based pavement subsurface distress detection via ground penetrating radar data Y Li, C Liu, G Yue, Q Gao, Y Du Automation in Construction 142, 104516, 2022 | 34 | 2022 |
Understanding traffic bottlenecks of long freeway tunnels based on a novel location-dependent lighting-related car-following model S Yu, C Zhao, L Song, Y Li, Y Du Tunnelling and Underground Space Technology 136, 105098, 2023 | 27 | 2023 |
A novel evaluation method for pavement distress based on impact of ride comfort Y Li, C Liu, Y Du, S Jiang International Journal of Pavement Engineering 23 (3), 638-650, 2022 | 20 | 2022 |
Mobile light detection and ranging for automated pavement friction estimation Y Du, Y Li, S Jiang, Y Shen Transportation Research Record 2673 (10), 663-672, 2019 | 19 | 2019 |
Mathematical insights into the relationship between pavement roughness and vehicle vibration C Liu, D Wu, Y Li, S Jiang, Y Du International Journal of Pavement Engineering 23 (6), 1935-1947, 2022 | 17 | 2022 |
RoadID: a dedicated deep convolutional neural network for multipavement distress detection Y Li, C Liu, Y Shen, J Cao, S Yu, Y Du Journal of Transportation Engineering, Part B: Pavements 147 (4), 04021057, 2021 | 17 | 2021 |
Effective pavement skid resistance measurement using multi‐scale textures and deep fusion network C Liu, N Xu, Z Weng, Y Li, Y Du, J Cao Computer‐Aided Civil and Infrastructure Engineering 38 (8), 1041-1058, 2023 | 9 | 2023 |
ConTrack Distress Dataset: A Continuous Observation for Pavement Deterioration Spatio-Temporal Analysis Y Li, C Liu, Q Gao, D Wu, F Li, Y Du IEEE Transactions on Intelligent Transportation Systems 23 (12), 25004-25017, 2022 | 8 | 2022 |
New generation of smart highway: Framework and insights C Liu, Y Du, Y Ge, D Wu, C Zhao, Y Li Journal of Advanced Transportation 2021, 1-12, 2021 | 7 | 2021 |
Simulation-based optimization for the operation of toll plaza at car park exit with mixed types of tollbooths and waiting-time-dependent service S Yu, Y Du, J Wang, Y Li, Y Zhu Journal of Advanced Transportation 2021, 1-27, 2021 | 7 | 2021 |
Pavement distress initiation prediction by time-lag analysis and logistic regression H Liu, Y Li, C Liu, G Shen, H Xiang Applied Sciences 12 (22), 11855, 2022 | 5 | 2022 |
Road subsurface distress recognition method using multiattribute feature fusion with ground penetrating radar G Yue, Y Du, C Liu, S Guo, Y Li, Q Gao International Journal of Pavement Engineering 24 (2), 2037591, 2023 | 4 | 2023 |
Real-time risk assessment for road transportation of hazardous materials based on GRU-DNN with multimodal feature embedding S Yu, Y Li, Z Xuan, Y Li, G Li Applied Sciences 12 (21), 11130, 2022 | 4 | 2022 |
Gpr data augmentation methods by incorporating domain knowledge G Yue, C Liu, Y Li, Y Du, S Guo Applied Sciences 12 (21), 10896, 2022 | 4 | 2022 |
Mining co-occurrence patterns among deep road distresses using association rule analysis Q Gao, C Liu, Y Li, Y Du, G Yue, B Liu Journal of Transportation Engineering, Part B: Pavements 148 (1), 04021078, 2022 | 3 | 2022 |
Advances in automatic identification of road subsurface distress using ground penetrating radar: State of the art and future trends C Liu, Y Du, G Yue, Y Li, D Wu, F Li Automation in Construction 158, 105185, 2024 | 2 | 2024 |