Advancing Transportation Safety and Behavior Research through AI


The primary objective of this project is to explore how machine learning and AI can enhance the analysis of data collected by a high-fidelity driving simulator and integrated eye tracking. By utilizing these advanced technologies, we gain deeper insights into driver behavior, identify potential risk factors, and develop effective interventions to improve transportation safety.


Total project length: 175 hours

Task ideas

Expected results


Proficiency in programming languages such as Python, Java, or C++, knowledge of machine learning frameworks, solid understanding of statistical analysis, data visualization, and data preprocessing

Project difficulty level



Please use this link to access the test for this project.


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Participating Organizations