Faculty profile
Chris Lee
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Research
Latest papers
Assessing impacts of traffic signal countdown timers on safety and efficiency at signalized intersections.
Journal of safety research · 2026 · senior author
Utilising raw psycho-physiological data and functional data analysis for estimating mental workload in human drivers.
Ergonomics · 2025 · senior author
Conditional Generative Adversarial Network-Based roadway crash risk prediction considering heterogeneity with dynamic data.
Journal of safety research · 2025 · senior author
Latest funding
- $25,000
Analysis of distracted driving behaviors for development of in-vehicle warning strategies to improve road safety
NSERC · 2022 · Principal investigator
- $156,000
Developing Advanced Road Safety Analysis Techniques based on Understanding of Human Psychology and Behavior
NSERC · 2019 · Principal investigator
- $110,000
Understanding Passenger Car-Heavy Vehicle Interactions and Conflicts on Roadways*for Developing Proactive Traffic Safety Strategies
NSERC · 2014 · Principal investigator
20 publications.
Assessing impacts of traffic signal countdown timers on safety and efficiency at signalized intersections.
Veerakumar VK, Lee C
Utilising raw psycho-physiological data and functional data analysis for estimating mental workload in human drivers.
Eniyandunmo D, Shin M, Lee C, Anwar A, Kim E, Kim K, Kim YH, Lee C
Conditional Generative Adversarial Network-Based roadway crash risk prediction considering heterogeneity with dynamic data.
Park N, Park J, Lee C
Effects of integrated takeover request warning with personal portable device on takeover time and post-takeover performance in level 3 driving automation.
Talukder N, Lee C, Kim YH, Balasingam B, Biondi F, Murugan AS, Kim E
Predicting Driver's mental workload using physiological signals: A functional data analysis approach.
Lee C, Shin M, Eniyandunmo D, Anwar A, Kim E, Kim K, Yoo JK, Lee C
Cross-cultural comparison of body dimensions and trends: an analysis of ANSUR and Size Korea datasets for automotive seating design.
Kang J, Jeon H, Kim E, Kim K, Jung H, Lee C
Applying the Accumulator model to predict driver's reaction time based on looming in approaching and braking conditions.
Durrani U, Lee C
Analysis of driver characteristics, self-reported psychology measures and driving performance measures associated with aggressive driving.
Hassan A, Lee C, Cramer K, Lafreniere K
Analysis of effects of driver's evasive action time on rear-end collision risk using a driving simulator.
Shah D, Lee C
Predicting driver reaction time and deceleration: Comparison of perception-reaction thresholds and evidence accumulation framework.
Durrani U, Lee C, Shah D
Analysis of distracted driving behaviors for development of in-vehicle warning strategies to improve road safety
Principal investigators: Lee, Chris C
Keywords: data analysis; distracted driving; driver behavior; driving simulator; road safety; warning; weather
Developing Advanced Road Safety Analysis Techniques based on Understanding of Human Psychology and Behavior
Principal investigators: Lee, Chris
Keywords: road safety; driver behavior; traffic simulation; surrogate safety measure; human psychology; vehicle trajectory; car-following model; lane-changing model; driving simulator; highway
Understanding Passenger Car-Heavy Vehicle Interactions and Conflicts on Roadways*for Developing Proactive Traffic Safety Strategies
Principal investigators: Lee, Chris
Understanding the impact of traffic flow interruption and vehicle mix on congestion and safety for solving cross-border traffic issues
Principal investigators: Lee, Chris
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Eunsik Kim and Chris Lee: 4 shared papers
- Eunsik Kim and Balakumar Balasingam: 1 shared paper
- Balakumar Balasingam and Chris Lee: 1 shared paper
- Civil and Environmental Engineering
- Mechanical, Automotive, & Materials Engineering
- Electrical and Computer Engineering
Co-authors at University of Windsor, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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