1. Huang, S., Wong, W., Liu, H. X., and Feng, Y. (2020). Falsified Vehicle Trajectory Identification by Anomaly Detection in a Connected Vehicle Environment, Presented at Poster Session 1553: Critical Transportation Infrastructure Protection.

2. Wang, X., Shen, S., Feng, Y., Bezzina, D., Sayer, J., and Liu, H. X. (2020). A Data Infrastructure for Connected Vehicle Applications, Presented at Lectern Session 1234: New Solutions to Traffic Monitoring Challenges at Convention Center, 151B.

3. Feng, S., Feng, Y., Yan, X., Shen, S., Wang, Y., Yang, C., Zhang, Y., and Liu, H. X. (2020). Safety Assessment of Highly Automated Driving Systems: A New Framework, Presented at Lectern Session 1316: Safety Management in a World of Connected and Automated Vehicles—Hybrid Session at Convention Center, Salon B.

4. Bao, S., Zhang, Y., Yu, B., Feng, Y., Wang, Y., and Yang, C. (2020). Real-time Prediction of Hard-Braking Behavior when Following: A Hybrid SVM-Based Method, Presented at Poster Session 1340: Safety Data, Analysis, and Evaluation, Act III: Time to Collision, Conflicts, and Other Safety Surrogates.

5. Feng S., Feng Y., Sun H., Zhang Y., and Liu, H. X. (2020). Adaptive Testing Scenario Library Generation (ATSLG) for Connected and Automated Vehicles, Presented at Poster Session 1355: Toward Adoption of Vehicle-Highway Automation.

6. Feng, Y., Yang, Z., Amini, M. R., Hu, Q., and Sun, J. (2020). Eco-trajectory Planning Considering Cut-in Intention for Hybrid Electric Connected Vehicles, Presented at Poster Session 1412: Current Issues in Transportation and Air Quality.

7. Zhao, Y., Yan, X., and Liu, H. X. (2020). A Data Fusion Framework for Traffic Volume Reconstruction from Low-Rank Structures, Presented at Poster Session 1408: Advances in Traffic Monitoring.

8. Zhao, Y., Yan, X., and Liu, H. X. (2020). A Probabilistic Model for Traffic Volume Reconstruction Based on Data Fusion, Presented at Poster Session 1408: Advances in Traffic Monitoring.

9. Zheng, J., and Liu, H. X. (2020). DASCOS: Dynamic Area-wide Signal Control Optimization System Using Trajectory Data, Presented at Poster Session 1420: Advances in Intelligent Transportation Systems, Traffic Management Applications, and Strategies.

10. Loretta-Batlle, R., Wang, Z., Liu, M., Zheng, J., and Liu, H. X. (2020). Efficient Network-wide Signal Coordination with Multiple Cycle Lengths and Trajectory Data, Presented at Poster Session 1495: Traffic Signal Control with Connected Automated Vehicle or Trajectory Data.

11. Huang, S., Wong, W., Chen, Q.A., Mao, M.Z., Liu, H. X., and Feng Y. (2020). Cyber-Vulnerability Analysis for Connected Vehicle Based Traffic Signal Control Systems, Presented at Poster Session 1495: Traffic Signal Control with Connected Automated Vehicle or Trajectory Data.

12. Yang, Z., Feng, Y., & Liu, H. X. (2020). Integrated Traffic Signal and Vehicle Trajectory Control in a Mixed Traffic Condition, Presented at Poster Session 1495: Traffic Signal Control with Connected Automated Vehicle or Trajectory Data.

13. Amini, M. R., Feng, Y., Yang, Z., Kolmanovsky, I., and Sun, J. (2020). Long-term Vehicle Speed Prediction via Traffic Data Mining for Improved Energy Efficiency of Connected Electric Vehicles, Presented at Poster Session 1487: Current Issues in Transportation Energy.

14. Zhao, Y., and Liu, H. X. (2020). Maximum Likelihood Estimation of Probe Vehicle Penetration Rates and Queue Length Distributions from Probe Vehicle Data, Presented at Poster Session 1758: Road Scholars: New Research in Travel Time, Speed, and Reliability Data.

15. Zhao, Y., Shen, S., and Liu, H. X. (2020). A Hidden Markov Model for the Estimation of Dependent Queues Using Probe Vehicle Data, Presented at Poster Session 1758: Road Scholars: New Research in Travel Time, Speed, and Reliability Data.