• TRB 100th Annual Meeting - A Virtual Event

      January 24–28, 2021

    • Online Program


Annual Meeting Event Detail

Poster Session 1155

1155 - Vehicle-Highway Automation 2021, Part 1 (Part 2, Session 1168)

Tuesday, January 26 10:00 AM- 11:30 AM ET
Sponsored by:
Standing Committee on Vehicle-Highway Automation (ACP30)


No agenda available

Title Presentation Number
Impacts of Automated Vehicles on Highway Infrastructure
Paul Carlson, Road Infrastructure, Inc.
Show Abstract
Cooperative Car-Following and Merging: A Novel Merge Control Strategy Considering Cooperative Adaptive Cruise Control and Courtesy
Yuanchang Xie (yuanchang_xie@uml.edu), University of Massachusetts, Lowell
Show Abstract
Better than ‘Average’: Potential Crash Rate Standards for Automated Vehicles
Noah Goodall (Noah.Goodall@VDOT.Virginia.gov), Virginia Department of Transportation
Show Abstract
Investigating the Potential of Truck Platooning on Energy Savings: an Empirical Study on the U.S. National Highway Freight Network
Xiaotong Sun, University of Michigan, Ann Arbor
Yafeng Yin, University of Michigan, Ann Arbor
Bo Zou, University of Illinois, Chicago
Haochen Wu, University of Michigan
Mojtaba Abdolmaleki, University of Michigan
Show Abstract
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing
Lin Liu, University of Michigan, Ann Arbor
Shuo Feng (fshuo@umich.edu), University of Michigan, Ann Arbor
Yiheng Feng, Purdue University
Xichan Zhu, Tongji University
Henry Liu, University of Michigan, Ann Arbor
Show Abstract
Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles
Haowei Sun, University of Michigan
Shuo Feng (fshuo@umich.edu), University of Michigan, Ann Arbor
Xintao Yan, University of Michigan
Henry Liu, University of Michigan, Ann Arbor
Show Abstract
Cut-in Test Scenarios Generation Method for Autonomous Vehicles
Shuang Liu, Tongji University
Xuesong Wang (wangxs@tongji.edu.cn), Tongji University
Show Abstract
Cooperative Control of Automated Vehicles of Different Cooperation Classes at a Stop-Controlled Intersection
Saeid Soleimaniamiri, University of South Florida
Handong Yao, University of South Florida
Amir Ghiasi, Leidos, Inc.
Xiaopeng Li (xiaopengli@usf.edu), University of South Florida
Pavle Bujanovic, Federal Highway Administration (FHWA)
Govindarajan Vadakpat, Federal Highway Administration (FHWA)
Taylor Lochrane, Federal Highway Administration (FHWA)
Show Abstract
Machine Learning Aided Platoon-Based Cooperative Lane-change Control Using MPC Approach
hanyu zhang (hanyu.zhang@ufl.edu), University of Florida
Lili Du, University of Florida
Jinglai Shen, University of Maryland, Baltimore County
Show Abstract
Comparison of Automated Vehicle Struck-from-Behind Crash Rates with National Rates Using Naturalistic Data
Noah Goodall (Noah.Goodall@VDOT.Virginia.gov), Virginia Department of Transportation
Show Abstract
Investigation on Factors that Influence People's Acceptance of Automated Driving – A Kentucky Case Study
Song Wang, University of Louisville
Richard Li (richard.li@louisville.edu), University of Louisville
Show Abstract
Sharing the Road with Autonomous Vehicles: A Qualitative Analysis of the Perceptions of Pedestrians and Bicyclists
Md Tawhidur Rahman, West Virginia University
Kakan Dey (kakan.dey@mail.wvu.edu), West Virginia University
Subasish Das, Texas A&M University
Melissa Sherfinski, West Virginia University
Show Abstract
Qualifying the Driving Environment Dynamics from the View of Autonomous Vehicles (AVs): Inspiration for Qualitatively Defining Operational Design Domains (ODDs)
Xing Fu, University of Alabama
Jun Liu (jliu@eng.ua.edu), University of Alabama
Alexander Hainen, University of Alabama
Asad J. Khattak, University of Tennessee
Show Abstract
Autonomous Vehicles’ Car-following Drivability Evaluation Based on Driving Behavior Spectrum Reference Model
Xiao Qi, Tongji University
Ying Ni, Tongji University
Yiming Xu, University of Florida
Ye Tian, Tongji University
Junhua Wang, Tongji University
Jian Sun, Tongji University
Show Abstract
Reliability Analysis of a Passing Warning System on Two-Lane Highways Using Driving Simulator Data
Udai Hassein, Ryerson University
Show Abstract
Detecting and Rectifying Vehicle Malicious Misbehavior for Intersection Movement Assist: Sensor-Based Misbehavior Detection Study
Boon Teck Ong, Booz Allen Hamilton, Inc.
Joshua Kolleda, Booz Allen Hamilton, Inc.
Saleh Mousa, Texas Department of Transportation
Scott Andrews, Cogenia Partners, LLC
Dennis Fleming, Cogenia Partners, LLC
James Marousek, Booz Allen Hamilton, Inc.
Mahsa Ettefagh, Booz Allen Hamilton, Inc.
Purser Sturgeon, Southwest Research Institute
Diego Lodato, Booz Allen Hamilton, Inc.
James Goldsmith, Booz Allen Hamilton, Inc.
Show Abstract
Microscopic Right-Of-Way Trading Mechanism for Cooperative Decision-Making: Theories and Preliminary Results
Zhanbo Sun (zhanbosun12@gmail.com), Southwest Jiaotong University
Ziye Qin, Southwest Jiaotong University
Rui Ma, University of Alabama, Huntsville
Ziyan Gao, Southwest Jiaotong University
Show Abstract
Empirical Analysis of Longitudinal and Lateral Vehicle Dynamics of Automated Vehicles
Julian Staiger, Munich University of Applied Sciences
Simeon Calvert (simccalvert@gmail.com), Delft University of Technology
Show Abstract
Exploring the Benefits of Conversing with a Digital Voice Assistant during Automated Driving: A Parametric Duration Model of Takeover Time
Kirti Mahajan, Indian Institute of Technology, Bombay
David Large, University of Nottingham
Gary Burnett, University of Nottingham
Nagendra Velaga (n.r.velaga@iitb.ac.in), Indian Institute of Technology, Bombay
Show Abstract
Comfortable and Energy Efficient Velocity Control on Rough Pavements using Deep Reinforcement Learning
Jing Chen, Tongji University
Cong Zhao, Tongji University
Yuchuan Du (wszwsz179@163.com), Tongji University
Show Abstract
Runjia Du, Purdue University
Sikai Chen (chen1670@purdue.edu), Purdue University
Yujie Li, Purdue University
Paul (Young Joun) Ha, Purdue University
Jiqian Dong, Purdue University
Samuel Labi, Purdue University
Show Abstract

DISCLAIMER: All information shared in the TRB Annual Meeting Online Program is subject to change without notice. Changes, if necessary, will be updated in the Online Program and this page is the final authority on schedule information.