• TRB 100th Annual Meeting - A Virtual Event

      January 24–28, 2021

    • Online Program


Annual Meeting Event Detail

Poster Session 1109

1109 - Advancements in Road User Measurement & Evaluation

Monday, January 25 2:30 PM- 4:00 PM ET
Francis Tainter, University of Massachusetts, Amherst
Sponsored by:
Standing Committee on Road User Measurement and Evaluation (ACH50)

Our presenters will cover a range of interesting topics in human factors and driving including driver speed behavior, driver response time, car following behavior, driver distraction, dangerous driving behavior, bicyclist communication and bicyclist stress level, and Responsibility Sensitive Safety (RSS).  The presenters will also describe methodologies and techniques used to perform this research including naturalistic driving, driving simulation, bicycle simulation, virtual reality, machine learning, neural networks and driver modeling.

No agenda available

Title Presentation Number
Analysis of Bicyclist Communication in a Simulator Environment
Patrick Malcolm, Technical University of Munich
Georgios Grigoropoulos, Technische Universitaet Muenchen
Andreas Keler, Technische Universitat Munchen
Heather Kaths, Technische Universitaet Muenchen
Klaus Bogenberger, Technische Universitat Munchen
Show Abstract
Effects of Driving Environment and Driver Characteristics on Speed Adaptation Mechanisms of Drivers
Ankit Kumar Yadav, Indian Institute of Technology, Bombay
Nagendra Velaga (n.r.velaga@iitb.ac.in), Indian Institute of Technology, Bombay
Show Abstract
Impact of Drivers' Characteristics on Speed Choice Behavior in Adverse Weather Conditions: A Driving Simulator Study
Mehdi Zolali, Imam Khomeini International University
Babak Mirbaha, Imam Khomeini International University
Hamidreza Behnood, Imam Khomeini International University
Show Abstract
Bicyclist Maneuver Type Prediction using Bidirectional Long Short-Term Memory Neural Networks
Georgios Grigoropoulos (george.grigoropoulos@tum.de), Technische Universitaet Muenchen
Patrick Malcolm, Technical University of Munich
Andreas Keler, Technische Universitat Munchen
Heather Kaths, Technische Universitaet Muenchen
Klaus Bogenberger, Technische Universitat Munchen
Fritz Busch, Technische Universitat Munchen
Show Abstract
Performance and Safety Evaluation of Responsibility-Sensitive Safety in Freeway Car-Following Scenarios Using the Intelligent Driver Model and Model Predictive Control.
Xuesong Wang, Tongji University
Omar Hassanin, Tongji University
Xiangbin Wu, Intel Labs China
Show Abstract
Drivers’ Safety Grade and Ecology Grade Prediction Model Based on Random Forest
Xiaohua Zhao, Beijing University of Technology
Haolin Chen, Beijing University of Technology
Yiping Wu (wuyiping@bjut.edu.cn), Beijing University of Technology
Ying Yao, Beijing University of Technology
Yuan Yan, DiDi Chuxing
Cheng Gong, DiDi Chuxing
Yang Shi, DiDi Chuxing
Show Abstract
Cross-Platform Comparison of Driver Responses during Simulated Automated Driving and Correlations with Trust
Ganesh Pai (gpaimangalor@umass.edu), University of Massachusetts, Amherst
Michael Knodler, University of Massachusetts, Amherst
Cole Fitzpatrick, University of Massachusetts, Amherst
Jaydeep Radadiya, University of Massachusetts, Amherst
Sarah Widrow, University of Massachusetts, Amherst
Anuj Kumar Pradhan, University of Massachusetts, Amherst
Show Abstract
Car-following Behavior Factors Contributing to Rear-end Crashes and Near-crashes: A Naturalistic Driving Study
Xuesong Wang (wangxs@tongji.edu.cn), Tongji University
Xuxin Zhang, Tongji University
Feng Guo, Virginia Polytechnic Institute and State University (Virginia Tech)
Yue Gu, China Pacific Property Insurance Co.,Ltd
Xiaohui Zhu, China Pacific Property Insurance Co.,Ltd
Show Abstract
Driver Distraction Detection Based on Vehicle Dynamics Using Naturalistic Driving Data
Xuesong Wang (wangxs@tongji.edu.cn), Tongji University
Rongjiao Xu, Tongji University
Siyang Zhang, University of Missouri, Columbia
Show Abstract
Visualization of Driving Scenes for Realistic Simulator Experimentation - An Efficient Framework
Tingting Zhang, University of California, Berkeley
xiao zhou, Wuhan University
Pei Wang, University of California, Berkeley
Ching-Yao Chan, Lawrence Berkeley National Laboratory
Show Abstract
Predicting Drivers’ Reaction Time in Unexpected Lane Departure Situations Using Brainwave Signals: Application of Machine Learning Techniques
Soheil Borhani, University of Tennessee, Knoxville
Ramin Arvin (rarvin@vols.utk.edu), University of Tennessee, Knoxville
Ziming Liu, University of Tennessee, Knoxville
Asad J. Khattak, University of Tennessee
Xiaopeng Zhao, University of Tennessee, Knoxville
Miao Wang, Miami University
Show Abstract
Evaluation of Brake Reaction Time and Evasive Action Performance of Motorized Two-Wheeler Riders towards Jaywalking through Mock-Up Control Studies
Pradhan Kumar Akinapalli, Indian Institute of Technology, Hyderabad
Digvijay Pawar, Indian Institute of Technology, Hyderabad
Show Abstract
An optimized algorithm of dangerous driving behavior identification based on unbalanced data
Jing Wang (1833285@tongji.edu.cn), Tongji University
Yichuan Peng, Tongji University, Jiading
Chongyi Li, Tongji University
Show Abstract
Quantifying Bicycling Stress Level Using Virtual Reality and Electrodermal Activity Sensor
Mohsen Nazemi (nazemi@ivt.baug.ethz.ch), Swiss Federal Institute of Technology (ETH Zurich)
Michael van Eggermond, University of Applied Sciences Northwestern Switzerland
Show Abstract
Development of a High Fidelity Virtual Reality Cycling Simulator for Road Safety Education and Research
Fred Feng (fredfeng@umich.edu), University of Michigan, Dearborn
Ayah Hamad, University of Michigan, Dearborn
Show Abstract

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