| Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles S Chen, J Dong, P Ha, Y Li, S Labi Computer‐Aided Civil and Infrastructure Engineering 36 (7), 838-857, 2021 | 201 | 2021 |
| A deep learning algorithm for simulating autonomous driving considering prior knowledge and temporal information S Chen, Y Leng, S Labi Computer‐Aided Civil and Infrastructure Engineering 35 (4), 305-321, 2020 | 141 | 2020 |
| Impact of road-surface condition on rural highway safety: A multivariate random parameters negative binomial approach S Chen, TU Saeed, S Labi Analytic methods in accident research 16, 75-89, 2017 | 138 | 2017 |
| Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment J Dong, S Chen, Y Li, R Du, A Steinfeld, S Labi Transportation Research Part C: Emerging Technologies 128, 103192, 2021 | 105* | 2021 |
| Safety sensitivity to roadway characteristics: A comparison across highway classes S Chen, TU Saeed, M Alinizzi, S Lavrenz, S Labi Accident Analysis & Prevention 123, 39-50, 2019 | 88 | 2019 |
| Leveraging vehicle connectivity and autonomy for highway bottleneck congestion mitigation using reinforcement learning P Ha, S Chen, J Dong, S Labi Transportmetrica A: Transport Science, 1-26, 2023 | 78* | 2023 |
| Safety impacts of pavement surface roughness at two-lane and multi-lane highways: accounting for heterogeneity and seemingly unrelated correlation across crash severities S Chen, TU Saeed, SD Alqadhi, S Labi Transportmetrica A: transport science 15 (1), 18-33, 2019 | 75 | 2019 |
| Methodology for probabilistic modeling of highway bridge infrastructure condition: Accounting for improvement effectiveness and incorporating random effects TU Saeed, Y Qiao, S Chen, K Gkritza, S Labi Journal of Infrastructure Systems 23 (4), 04017030, 2017 | 63 | 2017 |
| Vehicle connectivity and automation: A sibling relationship P Ha, S Chen, R Du, J Dong, Y Li, S Labi Frontiers in Built Environment 6, 590036, 2020 | 58 | 2020 |
| A DRL-based multiagent cooperative control framework for CAV networks: A graphic convolution Q network J Dong, S Chen, PYJ Ha, Y Li, S Labi arXiv preprint arXiv:2010.05437, 2020 | 55 | 2020 |
| A framework for lane-change maneuvers of connected autonomous vehicles in a mixed-traffic environment R Du, S Chen, Y Li, M Alinizzi, S Labi Electronics 11 (9), 1350, 2022 | 47* | 2022 |
| Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systems J Dong, S Chen, M Miralinaghi, T Chen, P Li, S Labi Transportation research part C: emerging technologies 156, 104358, 2023 | 46 | 2023 |
| Analysing the main and interaction effects of commercial vehicle mix and roadway attributes on crash rates using a Bayesian random-parameter Tobit model T Chen, NN Sze, S Chen, S Labi, Q Zeng Accident Analysis & Prevention 154, 106089, 2021 | 45 | 2021 |
| Predicting cost escalation pathways and deviation severities of infrastructure projects using risk‐based econometric models and Monte Carlo simulation A Bhargava, S Labi, S Chen, TU Saeed, KC Sinha Computer‐Aided Civil and Infrastructure Engineering 32 (8), 620-640, 2017 | 44 | 2017 |
| Network‐level scheduling of road construction projects considering user and business impacts M Miralinaghi, W Woldemariam, DM Abraham, S Chen, S Labi, Z Chen Computer‐Aided Civil and Infrastructure Engineering 35 (7), 650-667, 2020 | 38 | 2020 |
| Leveraging vehicle connectivity and autonomy to stabilize flow in mixed traffic conditions: accounting for human-driven vehicle driver behavioral heterogeneity and perception … Y Li, S Chen, PYJ Ha, J Dong, A Steinfeld, S Labi arXiv preprint arXiv:2008.04351, 2020 | 37 | 2020 |
| Development and testing of an image transformer for explainable autonomous driving systems J Dong, S Chen, M Miralinaghi, T Chen, S Labi Journal of Intelligent and Connected Vehicles 5 (3), 235-249, 2022 | 33 | 2022 |
| Spatio-weighted information fusion and DRL-based control for connected autonomous vehicles J Dong, S Chen, Y Li, PYJ Ha, R Du, A Steinfeld, S Labi 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 32 | 2020 |
| Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles H Shi, Y Zhou, K Wu, S Chen, B Ran, Q Nie Knowledge-Based Systems 269, 110485, 2023 | 31 | 2023 |
| Image transformer for explainable autonomous driving system J Dong, S Chen, S Zong, T Chen, S Labi 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 31 | 2021 |
Samuel LabiPurdue Universitypurdue.edu의 이메일 확인됨