[B3] Driver Behavior-Aware Cooperative Ramp Merging for Intelligent Vehicles
Xishun Liao, Xuanpeng Zhao, Ziran Wang, Matthew J. Barth, Guoyuan Wu and Kyungtae HanTowards Human-Vehicle Harmonization, vol. 3, pp. 193 – 210, De Gruyter.
Towards Human-Vehicle Harmonization, vol. 3, pp. 193 – 210, De Gruyter.
[B2] Enhancing Driver Visual Guidance Through Mobility Digital Twin
Ziran Wang, Yongkang Liu, and John H. L. HansenTowards Human-Vehicle Harmonization, vol. 3, pp. 95 – 104, De Gruyter.
[B1] New Simulation Tools for Training and Testing Automated Vehicles
Jiaqi Ma, Chris Schwarz, Ziran Wang, Maria Elli, German Ros, and Yiheng FengRoad Vehicles Automation, vol. 7, pp. 111 – 119, Springer.
[J19] Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application
Liangqi Yuan, Lu Su, and Ziran WangIEEE Internet of Things Journal, May 2023.
[J18] Metamobility: Connecting Future Mobility With the Metaverse
Haoxin Wang, Ziran Wang, Dawei Chen, Qiang Liu, Hongyu Ke, and Kyungtae HanIEEE Vehicular Technology Magazine, Apr. 2023.
[J17] Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior
Xishun Liao, Xuanpeng Zhao, Ziran Wang, Zhouqiao Zhao, Kyungtae Han, Rohit Gupta, Matthew J. Barth, and Guoyuan WuIEEE Internet of Things Journal, Mar. 2023.
[J16] Planning for Automated Vehicles with Human Trust
Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, John Lenneman, David Parker, and Lu FengACM Transactions on Cyber-Physical Systems, vol. 6, no. 4, Oct. 2022.
[J15] Gaussian Process-Based Personalized Adaptive Cruise Control
Yanbing Wang, Ziran Wang, Kyungtae Han, Prashant Tiwari, and Daniel WorkIEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 11, Nov. 2022.
[J14] Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges
Ziran Wang, Kyungtae Han, Rohit Gupta, Haoxin Wang, Akila Ganlath, Nejib Ammar, and Prashant TiwariIEEE Internet of Things Journal, vol. 9, no. 18, Sep. 2022.
[J13] Game Theory-Based Ramp Merging for Mixed Traffic with Unity-SUMO Co-Simulation
Xishun Liao, Xuanpeng Zhao, Ziran Wang, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, and Guoyuan WuIEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 9, Sep. 2022.
[J12] The Role of Digital Twins in Connected and Automated Vehicles
Chris Schwarz and Ziran WangIEEE Intelligent Transportation Systems Magazine, vol. 14, no. 6, Nov. 2022.
[J11] Co-Simulation Platform for Modeling and Evaluating Connected and Automated Vehicles and Human Behavior in Mixed Traffic
Xuanpeng Zhao, Xishun Liao, Ziran Wang, Guoyuan Wu, Matthew J. Barth, Kyungtae Han, and Prashant TiwariSAE International Journal of Connected and Automated Vehicles, vol. 5, no. 4, 2022.
[J10] Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study
Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, and John H. L. HansenIEEE Transactions on Intelligent Vehicles, vol. 7, no. 2, Jun. 2022.
[J9] Digital Twin-Assisted Cooperative Driving at Non-Signalized Intersections
Ziran Wang, Kyungtae Han, and Prashant TiwariIEEE Transactions on Intelligent Vehicles, vol. 7, no. 2, Jun. 2022.
[J8] Cooperative Ramp Merging Design and Field Implementation: A Digital Twin Approach based on Vehicle-to-Cloud Communication
Xishun Liao, Ziran Wang, Xuanpeng Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, and Guoyuan WuIEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 5, May 2022, pp. 4490-4500.
[J7] Eco-Approach and Departure along Signalized Corridors Considering Powertrain Characteristics
Guoyuan Wu, Peng Hao, Ziran Wang, Yu Jiang, Kanok Boriboonsomsin, Matthew J. Barth, Michael McConnell, Shuwei Qiang, and John A. Stark,SAE International Journal of Sustainable Transportation, Energy, Environment, & Policy, vol. 2, no. 1, 2021.
[J6] Driver Behavior Modeling using Game Engine and Real Vehicle: A Learning-Based Approach
Ziran Wang, Xishun Liao, Chao Wang, David Oswald, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth, Kyungtae Han, BaekGyu Kim, and Prashant TiwariIEEE Transactions on Intelligent Vehicles, vol. 5, no. 4, Dec. 2020, pp. 738-749.
[J5] A Survey on Cooperative Longitudinal Motion Control of Multiple Connected and Automated Vehicles
Ziran Wang, Yougang Bian, Steven E. Shladover, Guoyuan Wu, Shengbo E. Li, and Matthew J. BarthIEEE Intelligent Transportation Systems Magazine, vol. 12, no. 1, Spring 2020, pp. 4-24.
[J4] Cooperative Ramp Merging System: Agent-Based Modeling and Simulation using Game Engine
Ziran Wang, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth, Kyungtae Han, BaekGyu Kim, and Prashant TiwariSAE International Journal of Connected and Automated Vehicles, vol. 2, no. 2, May 2019, pp. 115-128, https://doi.org/10.4271/12-02-02-0008.
[J3] Cooperative Eco-Driving at Signalized Intersections in a Partially Connected and Automated Vehicle Environment
Ziran Wang, Guoyuan Wu, and Matthew J. BarthIEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 5, May 2020.
[J2] Cluster-Wise Cooperative Eco-Approach and Departure Applicatio for Connected and Automated Vehicles along Signalized Arterials
Ziran Wang, Guoyuan Wu, Peng Hao, and Matthew J. BarthIEEE Transactions on Intelligent Vehicles, vol. 3, no. 4, Dec. 2018, pp. 404-413.
[J1] Developing a Distributed Consensus-Based Cooperative Adaptive Cruise Control (CACC) System for Heterogeneous Vehicles with Predecessor Following Topology
Ziran Wang, Guoyuan Wu, and Matthew J. BarthJournal of Advanced Transportation, Special Issue: Advances in Modelling Connected and Automated Vehicles, vol. 2017 (2017), Article ID 1023654, Aug. 2017.
[C34] A Survey of Federated Learning for Connected and Automated Vehicles
Vishnu P. Challepandi, Liangqi Yuan, Stanislaw H. Zak, and Ziran Wang2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, Sep. 2023.
[C33] Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion
Can Cui, Yunsheng Ma, Juanwu Lu, and Ziran Wang2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, Sep. 2023.
[C32] CEMFormer: Learning to Predict Driver Intentions from In-Cabin and External Cameras via Spatial-Temporal Transformers
Yunsheng Ma, Wenqian Ye, Xu Cao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, and Ziran Wang2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, Sep. 2023.
[C31] Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition
Liangqi Yuan, Yunsheng Ma, Lu Su, and Ziran Wang2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, Canada, Jun. 2023.
[C30] M2DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer
Yunsheng Ma, Liangqi Yuan, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Zihao Li, and Ziran Wang2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, Canada, Jun. 2023.
[C29] Driver Monitoring-Based Lane-Change Prediction: A Personalized Federated Learning Framework
Runjia Du, Kyungtae Han, Rohit Gupta, Sikai Chen, Samuel Labi, and Ziran Wang2023 IEEE Intelligent Vehicles Symposium, Anchorage, AK, Jun. 2023.
[C28] ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection
Yunsheng Ma, and Ziran Wang2023 IEEE Intelligent Vehicles Symposium, Anchorage, AK, Jun. 2023.
[C27] GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control
Noveen Sachdeva, Ziran Wang, Kyungtae Han, Rohit Gupta, and Julian McAuleyIEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Macau, China, Oct. 2022.
[C26] A Study on Learning and Simulating Personalized Car-Following Driving Style
Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, and Lu FengIEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Macau, China, Oct. 2022.
[C25] Online Prediction of Lane Change with a Hierarchical Learning-Based Approach
Xishun Liao, Xuanpeng Zhao, Ziran Wang, Zhouqiao Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, and Guoyuan Wu, IEEE International Conference on Robotics and Automation (ICRA 2022), Philadelphia, PA, May 2022.[C24] Personalized Car Following for Autonomous Driving with Inverse Reinforcement Learning
Zhouqiao Zhao, Ziran Wang, Kyungtae Han, Rohit Gupta, Prashant Tiwari, Guoyuan Wu, and Matthew J. BarthIEEE International Conference on Robotics and Automation (ICRA 2022), Philadelphia, PA, May 2022.
[C23] Personalized Adaptive Cruise Control via Gaussian Process Regression
Yanbing Wang, Ziran Wang, Kyungtae Han, Prashant Tiwari, and Daniel WorkIEEE 24th International Conference on Intelligent Transportation Systems (ITSC), Indianapolis, IN, Sep. 2021.
[C22] Digital Twin Simulation of Connected and Automated Vehicles with the Unity Game Engine
Ziran Wang, Kyungtae Han, and Prashant Tiwari2021 IEEE International Conference on Digital Twin and Parallel Intelligence, Beijing, China, Jul.-Aug. 2021.
[C21] Motion Estimation of Connected and Automated Vehicles under Communication Delay and Packet Loss of V2X Communications
Ziran Wang, Kyungtae Han, and Prashant TiwariSAE WCX Digital Summit, SAE Technical Paper 2021-01-0202, Virtual Conference, Apr. 2021.
[C20] Trust-Based Route Planning for Automated Vehicles
Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, John Lenneman, and Lu Feng12th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), Virtual Conference, Apr. 2021.
[C19] A Game Theory Based Ramp Merging Strategy for Connected and Automated Vehicles in the Mixed Traffic: A Unity-SUMO Integrated Platform
Xishun Liao, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Ziran Wang, Kyungtae Han, and Prashant TiwariTransportation Research Board 100th Annual Meeting, Virtual Conference, Jan. 2021.
[C18] Augmented Reality-Based Advanced Driver-Assistance System for Connected Vehicles
Ziran Wang, Kyungtae Han, and Prashant Tiwari2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), Virtual Conference, Oct. 2020.
[C17] Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles
Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, and John H. L. Hansen2020 IEEE Intelligent Vehicles Symposium, Virtual Conference, Oct. 2020.
[C16] Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron
Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, and Xuan Di2020 IEEE Intelligent Vehicles Symposium, Virtual Conference, Oct. 2020.
[C15] Optimal Control-Based Eco-Ramp Merging System for Connected and Automated Vehicles
Zhouqiao Zhao, Guoyuan Wu, Ziran Wang, and Matthew J. Barth2020 IEEE Intelligent Vehicles Symposium, Virtual Conference, Oct. 2020.
[C14] A Digital Twin Paradigm: Vehicle-to-Cloud Based Advanced Driver Assistance Systems
Ziran Wang, Xishun Liao, Xuanpeng Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, and Guoyuan Wu2020 IEEE 91st Vehicular Technology Conference, Virtual Conference, May 2020.
[C13] Cooperative Ramp Merging with Vehicle-to-Cloud Communications: A Field Experiment
Xishun Liao, David Oswald, Ziran Wang, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth, Kyungtae Han, BaekGyu Kim, and Prashant TiwariTransportation Research Board 99th Annual Meeting, Washington D.C., Jan. 2020.
[C12] End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning
Zhensong Wei, Yu Jiang, Xishun Liao, Xuewei Qi, Ziran Wang, Guoyuan Wu, Peng Hao, and Matthew J. BarthTransportation Research Board 99th Annual Meeting, Washington D.C., Jan. 2020.
[C11] Early Findings from Field Trials of Heavy-Duty Truck Connected Eco-Driving System
Ziran Wang, Yuan-Pu Hsu, Yuan-Pu Hsu, Yuan-Pu Hsu, Alexander Vu, Francisco Caballero, Peng Hao, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth, Aravind Kailas, Pascal Amar, Eddie Garmon, Sandeep TanugulaIEEE 22nd International Conference on Intelligent Transportation Systems (ITSC), Auckland, New Zealand, Oct. 2019.
[C10] The State-of-the-Art of Coordinated Ramp Control with Mixed Traffic Conditions
Zhouqiao Zhao, Ziran Wang, Guoyuan Wu, Fei Ye, and Matthew J. BarthIEEE 22nd International Conference on Intelligent Transportation Systems (ITSC), Auckland, New Zealand, Oct. 2019.
[C9] Lookup Table-Based Consensus Algorithm for Real-Time Longitudinal Motion Control of Connected and Automated Vehicles
Ziran Wang, Kyungtae Han, BaekGyu Kim, Guoyuan Wu, and Matthew J. Barth2019 American Control Conference, Philadelphia, PA, Jul. 2019.
[C8] Agent-Based Modeling and Simulation of Connected and Automated Vehicles Using Game Engine: A Cooperative On-Ramp Merging Study
Ziran Wang, BaekGyu Kim, Hiromitsu Kobayashi, Guoyuan Wu, and Matthew J. BarthTransportation Research Board 98th Annual Meeting, Washington D.C., Jan. 2019.
[C7] Eco-Approach and Departure along Signalized Corridors
Guoyuan Wu, Peng Hao, Ziran Wang, and Matthew J. BarthTransportation Research Board 98th Annual Meeting, Washington D.C., Jan. 2019.
[C6] A Review on Cooperative Adaptive Cruise Control (CACC) Systems: Architectures, Controls, and Applications
Ziran Wang, Guoyuan Wu, and Matthew J. BarthIEEE 21st International Conference on Intelligent Transportation Systems (ITSC), Maui, Hawaii, Nov. 2018.
[C5] Distributed Consensus-Based Cooperative Highway On-Ramp Merging Using V2X Communications
Ziran Wang, Guoyuan Wu, and Matthew J. BarthSAE Technical Paper, 2018-01-1177, Detroit, MI, Apr. 2018.
[C4] Cluster-Wise Cooperative Eco-Approach and Departure Application along Signalized Arterials
Ziran Wang, Guoyuan Wu, Peng Hao, and Matthew J. BarthIEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Yokohama, Japan, Oct. 2017.
[C3] Intra-Platoon Vehicle Sequence Optimization for Eco-Cooperative Adaptive Cruise Control
Peng Hao, Ziran Wang, Guoyuan Wu, Kanok Boriboonsomsin, and Matthew J. BarthIEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Yokohama, Japan, Oct. 2017.
[C2] Developing a Platoon-Wide Eco-Cooperative Adaptive Cruise Control (CACC) System
Ziran Wang, Guoyuan Wu, Peng Hao, Kanok Boriboonsomsin, and Matthew J. Barth2017 IEEE Intelligent Vehicles Symposium, Redondo Beach, CA, Jun. 2017.
[C1] Developing a Distributed Consensus-Based Cooperative Adaptive Cruise Control (CACC) System
Ziran Wang, Guoyuan Wu, and Matthew J. BarthTransportation Research Board 96th Annual Meeting, Washington D.C., Jan. 2017.