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The proposed research focuses on improving road safety by studying how drivers react when encountering pedestrians in mixed traffic conditions. While most existing studies emphasize pedestrian behavior, little is known about how drivers respond in these situations. To address this gap, the project will use a driving simulator that replicates a real 5.5 km road section to observe driver actions during simulated pedestrian interactions under different traffic conditions. Key behaviors, such as slowing down, braking, or maintaining speed, will be measured using various performance indicators like speed, braking force, and reaction times. Advanced modeling techniques will then identify patterns in driver behavior, which will be validated through real-world driving experiments. For the partner organization, 30 Forensic Engineering, this research offers valuable insights for accident reconstruction, root cause analysis, and understanding human factors in collisions. These findings can enhance the accuracy of forensic investigations, support expert testimony, and inform the design of safer road environments and driver assistance systems. Ultimately, this collaboration will strengthen evidence-based solutions that reduce pedestrian-related accidents, improve liability assessments, and contribute to safer communities.
Alexandre de Barros
30 Forensic Engineering
Engineering
Professional, scientific and technical services
University of Calgary
Accelerate
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