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Publications

Journal Articles (published)

  1. Liu, Y., Zhou, A., Wang, Y., & Peeta, S. (2026). Navigating in mixed traffic: A human-centric approach to manage lane changes of human-driven vehicles. IEEE Transactions on Intelligent Transportation Systems.

  2. Liu, Y., & Peeta, S. (2025). Human-like lane-change control strategy for connected and autonomous vehicles to improve interactions with human-driven vehicles. Transportation Research Part C, 177, 105211.

  3. Liu, Y., Zhou, A., Wang, Y., & Peeta, S. (2025). Proactive longitudinal control to assist lane changes of human-driven vehicles in mixed traffic: Human-emulation approach. Automotive Innovation. Published online July 29, 2025, subsequently included in Volume 9 (2026), pp. 48–64.

  4. Liu, Y., Zhou, A., Wang, Y., & Peeta, S. (2023). Proactive longitudinal control to preclude disruptive lane changes of human-driven vehicles in mixed-flow traffic. Control Engineering Practice, 136, 105522.

  5. Zhou, A., Liu, Y., Tenenboim, E., Agrawal, S., & Peeta, S. (2023). Car-following behavior of human-driven vehicles in mixed-flow traffic: A driving simulator study. IEEE Transactions on Intelligent Vehicles, 8(4), 2661-2673.

  6. Zhou, H., Zhou, A., Laval, J., Liu, Y., & Peeta, S. (2022). Incorporating driver relaxation into factory adaptive cruise control to reduce lane-change disruptions. Transportation Research Record, 2676(9), 13-27.

  7. Liu, Y., Guo, J., & Wang, Y. (2018). Vertical and horizontal queue models for oversaturated signal intersections with quasi-real-time reconstruction of deterministic and shockwave queueing profiles using limited mobile sensing data. Journal of Advanced Transportation, 2018(1), 6986198.

Conference Proceedings (peer-reviewed)

  1. Liu, Y., Agrawal, S., Tenenboim, E., Zhou, A., & Peeta, S. (2025). Lane-change behavior of human drivers in mixed traffic: A safety perspective. In the Transportation Research Board 104th Annual Meeting. Washington, DC.

  2. Liu, Y., Zhou, A., Wang, Y., & Peeta, S. (2024). Proactive longitudinal control of connected and autonomous vehicles with lane-change management for human-driven vehicles. In the Transportation Research Board 103rd Annual Meeting. Washington, DC.

  3. Zhou, A., Liu, Y., Tenenboim, E., Agrawal, S., & Peeta, S. (2024). Car-following behavior of human-driven vehicles in mixed-flow traffic: A driving simulator study. In the Transportation Research Board 103rd Annual Meeting. Washington, DC.

  4. Liu, Y., Zhou, A., Wang, Y., & Peeta, S. (2021). Proactive longitudinal control of connected and autonomous vehicles with lane-change assistance for human-driven vehicles. In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) (pp. 776-781). IEEE.

  5. Liu, Y., Zhou, A., Wang, Y., & Peeta, S. (2021). Proactive longitudinal control to manage disruptive lane changes of human-driven vehicles in mixed-flow traffic. IFAC-PapersOnLine, 54(2), 321-326.

  6. Wang, L., Ye, F., Liu, Y., & Wang, Y. (2020). Evaluating traffic flow effects of cooperative adaptive cruise control based on enhanced microscopic simulation. In 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS) (pp. 386-392). IEEE.

  7. Wang, L., Guo, J., Ye, F., Perraki, G., Liu, Y., Papamichail, I., … & Papageorgiou, M. (2018). Traffic flow characteristics with cooperative adaptive cruise control: A microscopic simulation study. In Proceedings of the Transportation Research Board 97th Annual Meeting. Washington, DC.

  8. Liu, Y., Guo, J., & Wang, Y. (2017). Spatial random modeling of vehicular traffic in VANETs. In 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) (pp. 1-6). IEEE.

Technical Reports

  1. Liu, Y., Zhou, A., Wang, Y., & Peeta, S. (2022). Non-connected vehicle detection using connected vehicles. Technical Report Nr. 24, Center for Connected and Automated Transportation (CCAT).