A digital twin paradigm: Vehicle-to-cloud based advanced driver assistance systems Z Wang, X Liao, X Zhao, K Han, P Tiwari, MJ Barth, G Wu 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 1-6, 2020 | 119 | 2020 |
Cooperative ramp merging design and field implementation: A digital twin approach based on vehicle-to-cloud communication X Liao, Z Wang, X Zhao, K Han, P Tiwari, MJ Barth, G Wu IEEE Transactions on Intelligent Transportation Systems 23 (5), 4490-4500, 2021 | 88 | 2021 |
Game theory-based ramp merging for mixed traffic with unity-sumo co-simulation X Liao, X Zhao, Z Wang, K Han, P Tiwari, MJ Barth, G Wu IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (9), 5746-5757, 2021 | 46 | 2021 |
Co-simulation platform for modeling and evaluating connected and automated vehicles and human behavior in mixed traffic X Zhao, X Liao, Z Wang, G Wu, M Barth, K Han, P Tiwari SAE International Journal of Connected and Automated Vehicles 5 (12-05-04 …, 2022 | 29 | 2022 |
Driver digital twin for online prediction of personalized lane change behavior X Liao, X Zhao, Z Wang, Z Zhao, K Han, R Gupta, MJ Barth, G Wu IEEE Internet of Things Journal, 2023 | 26 | 2023 |
Online prediction of lane change with a hierarchical learning-based approach X Liao, Z Wang, X Zhao, Z Zhao, K Han, P Tiwari, MJ Barth, G Wu 2022 International Conference on Robotics and Automation (ICRA), 948-954, 2022 | 23 | 2022 |
A game theory based ramp merging strategy for connected and automated vehicles in the mixed traffic: A unity-sumo integrated platform X Liao, X Zhao, G Wu, M Barth, Z Wang, K Han, P Tiwari arXiv preprint arXiv:2101.11237, 2021 | 20 | 2021 |
Cyber mobility mirror: Deep learning-based real-time 3d object perception and reconstruction using roadside lidar Z Bai, SP Nayak, X Zhao, G Wu, MJ Barth, X Qi, Y Liu, K Oguchi Available at SSRN 4046058, 2022 | 13 | 2022 |
Cyber mobility mirror: a deep learning-based real-world object perception platform using roadside LiDAR Z Bai, SP Nayak, X Zhao, G Wu, MJ Barth, X Qi, Y Liu, EA Sisbot, ... IEEE Transactions on Intelligent Transportation Systems, 2023 | 12 | 2023 |
Evaluating cybersecurity risks of cooperative ramp merging in mixed traffic environments X Zhao, A Abdo, X Liao, MJ Barth, G Wu IEEE Intelligent Transportation Systems Magazine 14 (6), 52-65, 2022 | 6 | 2022 |
Field study to estimate exposure to vehicle exhaust during idling and starting Y Ding, X Zhao, J Luo, G Wu, A Venkatram Atmospheric Pollution Research 14 (1), 101632, 2023 | 3 | 2023 |
Cybersecurity on Connected and Automated Transportation Systems: A Survey A Abdo, H Chen, X Zhao, G Wu, Y Feng IEEE Transactions on Intelligent Vehicles, 2023 | 2 | 2023 |
15 Driver Behavior-Aware Cooperative Ramp Merging for Intelligent Vehicles X Liao, Z Wang, K Han, X Zhao, M Barth, G Wu Towards Human-Vehicle Harmonization 3, 193, 2023 | 1 | 2023 |
Robotic Competitions to Design Future Transport Systems: The Case of JRC AUTOTRAC 2020 B Ciuffo, M Makridis, V Padovan, E Benenati, K Boriboonsomsin, ... Transportation Research Record 2677 (2), 1165-1178, 2023 | 1 | 2023 |
Integrated Simulation Platform for Quantifying the Traffic-Induced Environmental and Health Impacts X Zhao, G Wu, A Venkatram, J Luo, P Hao, K Boriboonsomsin, S Hu 2024 Forum for Innovative Sustainable Transportation Systems (FISTS), 1-8, 2024 | | 2024 |
Improving Truck Merging at Ramps in a Mixed Traffic Environment: A Multi-human-in-the-loop (MHuiL) Approach X Zhao, X Liao, G Wu, K Boriboonsomsin, M Barth 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
Connectivity-Based Cooperative Ramp Merging in Multimodal and Mixed Traffic Environment G Wu, X Zhao, X Liao, K Boriboonsomsin, PS Region, MT Center METRANS Transportation Center (Calif.), 2022 | | 2022 |
Quantifying the Environmental and Health Impacts of Curbside Management for Emerging Multimodal Mobility Services G Wu, X Zhao, P Hao, J Luo, Y Ding Center for Advancing Research in Transportation Emissions, Energy, and …, 2022 | | 2022 |
AVMON: Securing Autonomous Vehicles by Learning Control Invariants and Residual Prediction A Abdo, SMB Malek, X Zhao, N Abu-Ghazaleh | | |