Transport Canada
Project 1: Exploratory Review of the Safety and Security Benefits and Challenges of Automated and Connected Vehicles for Women and Indigenous People
2018 – 2019
Project goals:
The goal of this project is to conduct a comprehensive review of existing or emerging research, policies, and regulations on the safety of AV/CV technologies and their interaction with two identified population groups; women and Indigenous peoples. In addition, the work explored research specific to urban, rural, and remote communities and low income related socio–economic factors, which are important considerations affecting all population groups
PI: Bruce Wallace, Dennis Kao
Project 2: Semi Autonomous Vehicle-Engagement (SAV-ED)
2021 – 2022
Project goals:
The following summary describes the purpose, activities and timelines associated with the Semi Autonomous Vehicle-Engagement (SAV-ED) Framework. The objective of this project is to advance safe road practice initiatives by developing a method for objectively quantifying the effect of SAVs on driver engagement and performance. The methods of the SAV-ED Framework support national collection and dissemination of timely and quality road safety data by exploiting emerging SAV sensor data, established safety sensors, and focused behavioural measures. A key objective of this project is to enhance shared knowledge of the impact of SAVs, a prominent emerging road safety technology for the 21st century. This project focuses on two vulnerable driving groups: novice drivers and older drivers.
PI: Chris Herdman
Publications:
Sunday, February 25, 2024
A. Lochbihler, B. Wallace, K. Van Benthem, C. Herdman, W. Sloan, K. Brightman, F. Knoefel, S. Marshall, R. Goubran , “Multi-Class Gaze Detection in a Dynamic Environment” accepted 2024 IEEE International Instrumentation Measurement Technology Conference (I2MTC), 2024
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Wednesday, June 7, 2023
A. Lochbihler, B. Wallace, K. Van Benthem, C. Herdman, W. Sloan, K. Brightman, J. Goheen, F. Knoefel, S. Marshall, “Assessing Driver Task Engagement Through Machine Learning Classification of Physiological Response” 2023 IEEE Sensors Applications Symposium (SAS), 2023.
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Monday, May 29, 2023
K. Brightman, K. Van Benthem, C. Herdman, B. Wallace, A. Lochbihler, W. Sloan, F. Knoefel, S. Marshall, “A Follow-up to an Age-Friendly Protocol to Support Investigations of Autonomous Driving Disengagement on Driver Safety: Results and Recommendations “, HCI International 2023.
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Tuesday, March 21, 2023
A. Lochbihler, B. Wallace, K. Van Benthem, C. Herdman, W. Sloan, K. Brightman, J. Goheen, F. Knoefel, S. Marshall, “Assessing Driver Engagement Through Machine Learning Classification of Physiological Measures”, 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2023.
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Friday, February 24, 2023
A. Lochbihler, B. Wallace, K. Van Benthem, C. Herdman, W. Sloan, K. Brightman, F. Knoefel, S. Marshall, “Assessing Driver Gaze Location in a Dynamic Vehicle Environment”, 2023 IEEE International Instrumentation Measurement Technology Conference (I2MTC), 2023.
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Wednesday, August 3, 2022
K. Brightman, K. Van Benthem, B. Wallace, C. Herdman, W. Sloan, T. Sloan, A. Lochbihler, F. Knoefel, S. Marshall, “Age-friendly protocol to support investigations of autonomous driving disengagement on driver safety” HCI International 2022.
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