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Federal Highway Administration Research and Technology
Coordinating, Developing, and Delivering Highway Transportation Innovations

 
SUMMARY REPORT
This summary report is an archived publication and may contain dated technical, contact, and link information
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Publication Number:  FHWA-HRT-14-077     Date:  July 2014
Publication Number: FHWA-HRT-14-077
Date: July 2014

 

The Exploratory Advanced Research Program Fact Sheet

Utilizing Various Data Sources for Surface Transportation Human Factors Research

WORKSHOP SUMMARY REPORT   •   November 6-7, 2013

Appendices

Appendix A: Agenda

Utilizing Various Data Sources for Surface Transportation Human Factors Research

Turner-Fairbank Highway Research Center, McLean, VA

Wednesday, November 6, 2013

10–11:15 a.m. Pre-Workshop Event
Tour of research tools at the Federal Highway Administration's Human Factors Laboratory
11:15 a.m.–1 p.m. Lunch
1–1:15 p.m. Introduction and Welcome
1:15–1:30 p.m. Overview of the Federal Highway Administration's Exploratory Advanced Research Program
1:30–1:45 p.m. Workshop Objectives and Expected Outcomes
1:45–2:45 p.m. Presentation Set 1

“Driver-Driver and Other Road Users' Data for Human Factors Research”
Presenters:
Dr. Marco Dozza, Chalmers University of Technology, Sweden
Dr. Toru Hagiwara, Hokkaido University, Japan
Dr. Hidekatsu Hamaoka, Akita University, Japan

2:45–3 p.m. Break
3–4 p.m. Presentation Set 2

“Driver–Infrastructure and Roadway Data for Human Factors Research”
Presenters:
Dr. Michael Manser, University of Minnesota
Dr. Susan Chrysler, University of Iowa

4–5 p.m. Presentation Set 3

“Driver–Vehicle Data for Human Factors Research”
Presenters:
Dr. John D. Lee, University of Wisconsin–Madison
Dr. Linda Boyle, University of Washington

5 p.m. Day 1 Adjournment

 

Thursday, November 7, 2013

8–8:15 a.m. Recap of Day 1
8:15–9:30 a.m. Expert Panel Discussion and Q&A
Moderator:
Dr. Donald Fisher, University of Massachusetts Amherst
9:30–9:45 a.m. Break
9:45–10:45 a.m.

Small Group Discussion and Recommendations from Group Discussion

10:45–11:45 a.m. Conclusions and Recommendations from Group Discussion
11:45 a.m.–12 p.m. Workshop Wrap-Up
12 p.m. Day 2 Adjournment

Appendix B: About the Presenters

Marco Dozza is an assistant professor at Chalmers University of Technology in the Department of Applied Mechanics. Since 2010, Dozza has been part of the Accident Prevention Group at Chalmers. His research interests focus mainly on naturalistic field operational test analysis (including bicycle safety) and methodology and active safety. Dozza is currently working on several national and international projects related to field operational tests, such as the second Strategic Highway Research Program (SHRP 2), as well as his own grants mainly related to cycling safety. Dozza is skilled in research framing, design, analysis, and interpretation and presentation of research results. He is the author of more than 40 scientific articles and peer-reviewed contributions to conferences.

Toru Hagiwara is a professor at Hokkaido University, Japan, in the Department of Civil Engineering. His research interests include on-road human factors and accident analysis in Japan. Hagiwara is currently working on several projects related to analyzing conflicts between drivers and pedestrians at intersections. This work includes (1) evaluating driver behavior to avoid conflicts with pedestrians, (2) evaluating pedestrian behavior to avoid conflicts with right/left-turning vehicles, and (3) evaluating a dedicated short-range communication system to avoid conflicts between drivers and pedestrians. His work is mainly conducted on test tracks.

Hidekatsu Hamaoka is an associate professor at Akita University, Japan. Hamaoka's research field is traffic safety analysis, with a focus on human factors. His work includes design to decrease the number of right-turn accidents (left-turn accidents in the United States) with pedestrians at major intersections, arterial-local intersection design for bicycle safety, and proposals to reprogram traffic signals to avoid rear-end collisions. Hamaoka has worked with Hagiwara to conduct test track experiments for nearly a decade.

Michael Manser's work focuses on designing and evaluating novel technology-based transportation systems intended to support driver performance and safety. Manser's work includes (1) designing and evaluating an infrastructure-based collision avoidance system intended to facilitate driver decisionmaking at high-risk rural intersections; (2) evaluating driver performance, workload, and usability associated with the use of a novel vehicle-based haptic collision avoidance system; and (3) evaluating driver mental and behavioral adaptation to the introduction and continued use of infrastructure-based driver support systems. His work is conducted in simulation and on-road testing environments.

Susan Chrysler joined the University of Iowa as the Director of Research at the National Advanced Driving Simulator in 2011. Chrysler's areas of expertise include human factors, driving simulation, driver behavior, visual attention, traffic operations, visibility, and photometry. Chrysler has served as principal investigator (PI), or task leader, for projects on traffic-sign design and comprehension, pavement-marking effectiveness, visibility, and traffic operations. She recently completed the FHWA guide to evaluation methods for traffic control devices intended to aid practitioners who request experimentation in the MUTCD process.

John D. Lee is the Emerson Electric professor in the Department of Industrial and Systems Engineering at the University of Wisconsin–Madison and director of the Cognitive Systems Laboratory. Lee's research seeks to better integrate people and technology in complex systems, such as cars, semi-autonomous systems, and telemedicine. He has served on the National Academy of Sciences committees on human system integration, electronic vehicle controls and unintended acceleration, and autonomy in civil aviation. He has also served as an editor for many publications related to this field.

Linda Ng Boyle is an associate professor in the College of Engineering at the University of Washington. She received her Ph.D. in Civil and Environmental Engineering from the University of Washington in 1998. Boyle is an associate editor for the journal Accident Analysis Prevention and chairs the Transportation Research Board committee on Statistical Methods (ABJ80). She has been the PI, or co-PI, on several SHRP 2 and USDOT projects that involve on-road and simulator data for examining driver distraction, crash risk, and road-user safety. Boyle is the recipient of the National Science Foundation Career Award and is a member of the Human Factors and Ergonomics Society, American Statistical Association, and Institute of Industrial Engineers.

Donald Fisher heads the Department of Mechanical and Industrial Engineering at the University of Massachusetts Amherst. He is also the director of the Arbella Insurance Human Performance Laboratory and serves as a Faculty Fellow at the Volpe National Transportation Systems Center in Cambridge, MA. Fisher's research focuses on efforts to understand the behaviors of novice, older, and distracted drivers that increase their risk of crashes and developing and evaluating training programs to reduce their risk. Fisher has served as an investigator on projects designed to identify the characteristics of warning systems inside the vehicle, along with signs, signals, and pavement markings outside the vehicle that are most likely to lead to behaviors that decrease the risk of injuries and crashes.


About the EAR Program

Federal legislation establishes an Exploratory Advanced Research (EAR) Program for transportation to address longer term, higher risk, breakthrough research with the potential for dramatic long-term improvements to transportation systems, improvements in planning, building, renewing, and operating safe, congestion-free, and environmentally sound transportation facilities. The Federal Highway Administration's (FHWA) EAR Program secures broad scientific participation and extensive coverage of advanced ideas and new technologies through stakeholder engagement, topic identification, and sponsored research.

The uncertainties in the research approach and outcomes challenge organizations and researchers to be innovative problem-solvers, which can lead to new research techniques, instruments, and processes that can be applied to future high-risk and applied research projects.

For more information, please visit the program Web site at

https://www.fhwa.dot.gov/advancedresearch/.

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