Driver Assessment Conference to Take Place in June
The 10th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design will be held June 24–27, 2019, at the Eldorado Hotel in Santa Fe, NM. Held every other year and organized by the Human Factors Research Program at the University of Iowa Public Policy Center, the conference includes researchers and practitioners working on driving assessment applications from the engineering, psychology, medicine, and public health perspectives. More information about the conference and how to register is available here.
Road Safety and Simulation the Focus of October Conference
Researchers and professionals from various disciplines will share their expertise and insights in the field of road safety and simulation at the Road Safety and Simulation Conference, October 14-17, 2019, in Iowa City, IA. Hosted by the National Advanced Driving Simulator, a self-sustained transportation safety research center at the University of Iowa’s College of Engineering, the conference will include keynote speakers, workshops, and technical tours featuring some of the most advanced simulators in the world. The Exploratory Advanced Research (EAR) Program currently supports research at the University of Iowa that uses simulations to study interactions between drivers, pedestrians, and bicyclists. Conference registration opens July 1, and early registration extends until August 15. For more information or to register click here.
Computer Vision for Work Zone Detection Presented at IEEE
On December 19, 2018, Franklin Abodo, a computer scientist in the Safety Information Systems Division at Volpe National Transportation Systems Center, presented a paper describing how he and other researchers used software to extract video information from vehicles in the second Strategic Highway Research Program’s (SHRP2) Naturalistic Driving Study (NDS), integrated that information into the Roadway Information Database (RID), and tied the video content to geolocations and other trip attributes to detect work zones. The Federal Highway Administration’s Exploratory Advanced Research Program supported the work of Abodo and his colleagues. The session “Using Deep Learning-Based Computer Vision to Detect Work Zones in SHRP2 NDS Video Data” took place in Orlando, FL, as part of the Institute of Electrical and Electronics Engineers (IEEE) International Conference on Machine Learning and Applications 2018. For more information, visit the conference website.
Research on Self-Powered Bridge Monitoring Sensors Presented
On August 29, 2018, Nizar Lajnef, associate professor of engineering at Michigan State University, presented “Toward Autonomous Self-Powered Self-Sensing Civil Infrastructure” during the Nondestructive Evaluation/Nondestructive Testing (NDE/NDT) for Structural Materials Technology for Highway and Bridges (SMT) and International Symposium for Non-Destructive Testing in Civil Engineering (NDT-CE) joint conference. The SMT and NDT-CE 2018 joint conference was held at the Hyatt Regency New Brunswick in New Brunswick, NJ, from August 27–29, 2018.
Lajnef highlighted the progress of research funded through the Federal Highway Administration’s Exploratory Advanced Research Program that led to the development of a battery-free, wireless, multimetric sensing system for the continuous and autonomous monitoring of bridge components.
TRB Workshop on Future Freight and Logistics Survey
The Innovations in Freight Data Workshop took place in Irvine, CA, on May 17–18, 2017. On May 17, Dr. Moshe Ben Akiva, from the Massachusetts Institute of Technology, spoke on a panel about technologies for monitoring, tracking, and data collection. He provided early information about an ongoing EAR Program-supported research project titled “Future freight and logistics survey: integrated data collection using mobile sensing, wireless communication, and machine learning algorithms.” Click here for more information about this Transportation Research Board (TRB) workshop.
Video Analytics Research Results Presented at IEEE Workshop
On March 30, 2017, in Santa Rosa, CA, David Kuehn, FHWA’s Program Manager for the Exploratory Advanced Research (EAR) Program, presented results from an EAR Program-funded research on video analytics. Kuehn presented on “Advances in Automating Analysis of Highway and Driver Video Image Data: Managing Low and Variable Image Quality” during the First International Workshop on Human Activity Analysis with Highly Diverse Cameras. The workshop took place as part of the biannual Workshop on Application of Computer Vision sponsored by the Institute of Electrical and Electronics Engineers (IEEE) Computer Society Technical Committee on Pattern Analysis and Machine Intelligence. Click here for more information about the workshop. Click here for more information about the EAR Program-funded research on video analytics.
TRB Webinar: Technology Readiness Level Assessments for Research Program Managers and Customers
On April 28, 2016, the Transportation Research Board (TRB) conducted a webinar to present an overview of the Technology Readiness Level (TRL) Assessment for describing the maturity of highway research products. The FHWA worked with the Volpe Center to develop the assessment. The webinar included background on the assessment tool, examples of its use, and lessons on how it can be applied to highway transportation research programs. The first 60 minutes of the webinar included presentations, and the final 30 minutes was reserved for audience questions. TRB’s Standing Committee on Conduct of Research organized the webinar. For full details about the webinar, go to the webinar details page. Contact Reggie Gillum at RGillum@nas.edu with any questions regarding the webinar.
TRB Webinar: New Technologies for Renewable Energy in the Public Right-of-Way
On March 31, 2016, the TRB conducted a webinar to present an overview of the results of two FHWA EAR Program studies on pursuing energy harvesting and application in the public right-of-way: (1) A Roadway Wind/Solar Hybrid Power Generation and Distribution System Technology; and (2) Kinetic-to-Electric Energy Conversion Technology as a Roadway Energy Harvester. Project researchers provided their approach, results, and recommendations for advancing their technologies. The webinar began with an introduction of the EAR Program and motivation for the research and ended with a question-and-answer session. For full details about the webinar. Contact Reggie Gillum at RGillum@nas.edu with any questions regarding the webinar.