• TRB 100th Annual Meeting - A Virtual Event

      January 24–28, 2021

    • Online Program

2021

Annual Meeting Event Detail




Poster Session 1061

1061 - Traffic Flow Theory and Characteristics, Part 1: Emerging Trends in Traffic Flow Theory: Connected and Automated Vehicles and Data-driven Methods (Part 2, Session 1101; Part 3, Session 1352)

Monday, January 25 10:00 AM- 11:30 AM ET
Poster
Sponsored by:
Standing Committee on Traffic Flow Theory and Characteristics (ACP50)

 



No agenda available

Title Presentation Number
OpenACC. An Open Database of Car-Following Experiments to Study the Properties of Commercial ACC Systems.
Michail Makridis, IVT ETHZ
Kostantinos Mattas, European Commission
Aikaterini Anesiadou (kat.anesiadou@gmail.com), European Commission Joint Research Centre
Biagio Ciuffo, European Commission Joint Research Center
Show Abstract
TRBAM-21-00360
A Compartmental Model for Traffic Smoothing via Optimal Control of Autonomous Vehicles
Shi'an Wang, University of Minnesota
Raphael Stern, University of Minnesota
Michael Levin, University of Minnesota
Show Abstract
TRBAM-21-00495
Addressing Challenges of Modeling Mixed Traffic Through Machine Learning Supported with Vehicular Trajectory Data
Narayana Raju, Sardar Vallabhbhai National Institute of Technology
Shriniwas Arkatkar, Sardar Vallabhbhai National Institute of Technology
Said Easa, Ryerson University
Gaurang Joshi, Sardar Vallabhbhai National Institute of Technology
Show Abstract
TRBAM-21-00771
Car-Following Model Using Gaussian Process Regression for Machine Learning: Hybrid Model/Data Approach, Validated with Traffic Radar Detection
Ignasi Echaniz Soldevila, INCONTROL Simulation Solutions
Victor Knoop, Delft University of Technology
Serge Hoogendoorn, Technische Universiteit Delft
Show Abstract
TRBAM-21-00809
Modeling Macroscopic Traffic Flow Using a New Physics Regularized Machine Learning Approach
Yun Yuan, University of Utah
Zhao Zhang, University of Utah
Xianfeng Yang (x.yang@utah.edu), University of Utah
Show Abstract
TRBAM-21-00836
Traffic State Estimation with Physics Regularized Gaussian Process: Discretized Formulation
Yun Yuan, University of Utah
Zhao Zhang, University of Utah
Xianfeng Yang (x.yang@utah.edu), University of Utah
Show Abstract
TRBAM-21-00840
Cooperative Driving in Mixed-flow Traffic of Connected Vehicles and Human-driven Vehicles: A State Estimation Approach
Anye Zhou (azhou46@gatech.edu), Georgia Institute of Technology (Georgia Tech)
Srinivas Peeta, Georgia Institute of Technology (Georgia Tech)
Show Abstract
TRBAM-21-01715
A Multiple-Factors Aware Car-following Model for Connected and Autonomous Vehicles
Huaqing Ma (cthq_ma@mail.scut.edu.cn), South China University of Technology
Yucong Hu, South China University of Technology
Hao Wu, South China University of Technology
Zhiwei Chen, University of South Florida
Jialing Luo, Foshan Urban Planning and Design Research Institute
Show Abstract
TRBAM-21-01905
Output feedback controller synthesis for a mixed traffic flow system
Shima Sadat Mousavi (mousavis@ethz.ch), Swiss Federal Institute of Technology (ETH Zurich)
Somayeh Bahrami, Razi University
Anastasios Kouvelas, Swiss Federal Institute of Technology (ETH Zurich)
Show Abstract
TRBAM-21-02474
Trajectory Optimization for Autonomous Modular Vehicle Split Operations
Qianwen Li, University of South Florida
Xiaopeng Li (xiaopengli@usf.edu), University of South Florida
Show Abstract
TRBAM-21-02482
A Network Traffic Model for the Control of Autonomous Vehicles Acting as Moving Bottlenecks
Zhexian Li (li001671@umn.edu), University of Minnesota, Twin Cities
Michael Levin, University of Minnesota
Xu Qu, Southeast University
Raphael Stern, University of Minnesota
Show Abstract
TRBAM-21-03206
Prediction Lane-Change-based-Car-Following (LCCF) Intention of Automated Vehicles Using Naturalistic Driving Data on Freeways
Li Zhao (lizhao@unl.edu), University of Nebraska, Lincoln
MM Shakiul Haque, University of Nebraska, Lincoln
Laurence Rilett, University of Nebraska, Lincoln
Show Abstract
TRBAM-21-03445
Continual Learning of Microscopic Traffic Models using Neural Networks
Yashar Farid, Toyota Motor Corporation
Abdul Rahman Kreidieh, University of California, Berkeley
Farnoush Khalighi, Aimsun, Inc.
Hans Lobel, Pontificia Universidad Catolica de Chile
Alexandre Bayen, University of California, Berkeley
Show Abstract
TRBAM-21-03666
A NOVEL CLUSTERING APPROACH TO IDENTIFY VEHICLES EQUIPPED WITH ADAPTIVE CRUISE CONTROL IN A VEHICLE TRAJECTORY DATA
Mohammadreza Khajeh Hosseini, University of Illinois, Urbana-Champaign
Alireza Talebpour (ataleb@illinois.edu), University of Illinois, Urbana-Champaign
Show Abstract
TRBAM-21-04169
A NOVEL DISTRIBUTED CONTROL FOR COORDINATED LANE-CHANGING
Gihyeob An, University of Illinois, Urbana-Champaign
Alireza Talebpour (ataleb@illinois.edu), University of Illinois, Urbana-Champaign
Show Abstract
TRBAM-21-04315
Automated Car-following Control Algorithm for Multiple Objectives on Freeways
Ping Sun, Tongji University
Han Chen, Tongji University
Xuesong Wang (wangxs@tongji.edu.cn), Tongji University
Show Abstract
TRBAM-21-04344

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.