Pedestrian-AV Interaction Experiments

Pedestrian-AV Interaction Experiments

I am currently the lead developer of the Unity-based Virtual Immersive Reality Environment (VIRE), a platform for the development of a range of transportation stated preference experiments that are highly realistic, immersive, interactive, and have the capability to collect information about the motion and orientation of the respondents. The original paper outlining VIRE is linked above.

I developed a Unity environment suited for experiments that explore pedestrian interactions with autonomous vehicles. It simulates autonomous vehicles passing by the respondent under various weather (sunny, snowy) and traffic (speed limit, one-way, two-way) conditions. It is suited to output the user’s movements and nearby vehicle time-to-collision data.

This environment was used in a real case study outlined in the presentation linked above.

The VIRE platform is a part of my MASc thesis and includes the goal of open sourcing the platform for other transportation researchers. I recently demonstrated it at the Transportation Research Board Annual Meeting 2019 and OCE Discovery 2019

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Rafael Vasquez
MASc. Candidate

Graduate student in the Laboratory of Innovations in Transportation developing machine learning and virtual reality in the context of autonomous vehicles and mobility behaviour analysis