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TRB 2020: January 12-16, 2020

November 5, 2019 - 11:30am to January 17, 2020 - 11:30am
Sponsor: http://www.trb.org/AnnualMeeting/AnnualMeeting.aspx

Join U-M at TRB 2020. U-M research that will be presented include -- more will be added as they are available! 

 

1.   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. To be Presented at The Transportation Research Board 99th Annual Meeting, Washington, D.C., 2020.
2.   Huang, S., Wong, W., Liu, H. X., and  Feng, Y. (2020). Falsified Vehicle Trajectory Identification by Anomaly Detection in a Connected Vehicle Environment. To be Presented at The Transportation Research Board 99th Annual Meeting, Washington, D.C., 2020.
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. To be Presented at a Lectern Session: Safety Management in a World of Connected and Automated Vehicles—Hybrid Session at the Transportation Research Board 99th Annual Meeting, Washington, D.C., 2020.
4.   Wang, X., Shen, S., Feng, Y., Bezzina, D., Sayer, J., and Liu, H. X. (2020). A Data Infrastructure for Connected Vehicle Applications. To be Presented at The Transportation Research Board 99th Annual Meeting, Washington, D.C., 2020.
5.   Yang, Z., Feng, Y., & Liu, H. X. (2020). Integrated Traffic Signal and Vehicle Trajectory Control in a Mixed Traffic Condition. To be Presented at a Poster Session: Traffic Signal Control with Connected Automated Vehicle or Trajectory Data at the 99th Transportation Research Board Annual Meeting, 2020.
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. To be Presented at the 99th Transportation Research Board Annual Meeting, 2020.
7.   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. To be Presented at the 99th Transportation Research Board Annual Meeting, 2020.
8.   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. To be Presented at the 99th Transportation Research Board Annual Meeting, 2020.
9.   Feng S., Feng Y., Sun H., Zhang Y., and  Liu, H. X. (2020). Adaptive Testing Scenario Library Generation (ATSLG) for Connected and Automated Vehicles. To be Presented at a Poster Session: Toward Adoption of Vehicle-Highway Automation at the 99th Transportation Research Board Annual Meeting, 2020.
10.   Zhao, Y., and Liu, H. X. (2020). Maximum Likelihood Estimation of Probe Vehicle Penetration Rates and Queue Length Distributions from Probe Vehicle Data. To be Presented at the Transportation Research Board 99th Annual Meeting, Washington, D.C., 2020.
11.   Zhao, Y., Yan, X., and Liu, H. X. (2020). A Probabilistic Model for Traffic Volume Reconstruction Based on Data Fusion. To be Presented at the Transportation Research Board 99th Annual Meeting, Washington, D.C., 2020.
12.   Zhao, Y., Shen, S., and Liu, H. X. (2020). A Hidden Markov Model for the Estimation of Dependent Queues Using Probe Vehicle Data. To be Presented at the Transportation Research Board 99th Annual Meeting, Washington, D.C., 2020.
13.   Zhao, Y., Yan, X., and Liu, H. X. (2020). A Data Fusion Framework for Traffic Volume Reconstruction from Low-Rank Structures. To be Presented at the Transportation Research Board 99th Annual Meeting, Washington, D.C., 2020.
14.   Zheng, J., and  Liu, H. X. (2020). DASCOS: Dynamic Area-wide Signal Control Optimization System Using Trajectory Data. To be Presented at the Transportation Research Board 99th Annual Meeting, Washington, D.C., 2020.
15.   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. To be Presented at the Transportation Research Board 99th Annual Meeting, Washington, D.C., 2020.