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Ziran Wang

Ziran Wang

  • Assistant Professor of Civil Engineering

Office and Contact

Room: HAMP G133

Email: ziran@purdue.edu

Phone: (765) 494-2154


Pillars of Interdisciplinary Research Excellence
Engineering over the Life Course
 
Education
PhD University of California, Riverside Mechanical Engineering 2019
 
Research Interests
digital twin, autonomous driving, human-machine interaction
 
Teaching Interests
connected and automated vehicles, intelligent transportation systems
 
Selected Publications
Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges Ziran Wang, Rohit Gupta, Kyungtae Han, and Prashant Tiwari IEEE Internet of Things Journal, vol. 9, no. 8, Sep. 2022, pp. 1745217467

Gaussian Process-Based Personalized Adaptive Cruise Control Yanbing Wang, Ziran Wang, Kyungtae Han, Prashant Tiwari, and Daniel B. Work. IEEE Transactions on Intelligent Transportation Systems, early access

Planning for Automated Vehicles with Human Trust Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, John Lenneman, David Parker, and Lu Feng. ACM Transactions on Cyber-Physical Systems, https://doi.org/10.1145/3561059

Digital Twin-Assisted Cooperative Driving at Non-Signalized Intersections. Ziran Wang, Kyungtae Han, and Prashant Tiwari. IEEE Transactions on Intelligent Vehicles, vol. 7, no. 2, Jun. 2022, pp. 198209

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 Tiwari. IEEE Transactions on Intelligent Vehicles, vol. 5, no. 4, Dec. 2020, pp. 738749.

A Survey on Cooperative Longitudinal Motion Control of Multiple Connected Automated Vehicles. Ziran Wang, Yougang Bian, Steven E. Shladover, Guoyuan Wu, Shengbo E. Li, and Matthew J. Barth. IEEE Intelligent Transportation Systems Magazine, vol. 12, no. 1, Spring 2020, pp. 425.

Cooperative Eco-Driving Along Multiple Signalized Intersections in a Partially Connected and Automated Vehicle Environment. Ziran Wang, Guoyuan Wu, and Matthew J. Barth. IEEE Transactions on Intelligent Transportation Systems, vol.21, no.5, May 2020, pp. 20292038.