Driving vs. AV Passenger Simulation

Driving vs. AV Passenger Simulation

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 driving behaviour and willingness to give control to autonomous vehicles (as a passenger). The environment is based on downtown Toronto’s road system and allows user to drive alongside vehicles in various traffic conditions. Vehicles are programmed to stop at intersections and slow down for cars detected in front of them. The user’s vehicle also has a GPS which shows them their real-time location on the road network.

Alternatively, the respondent is also able to ride in an autonomous vehicle. Multi-tasking is also implemented, allowing the respondent to play a game on a virtual cell phone or read a book/newspaper.

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

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


Recently, we developed a dynamic distributed end-to-end vehicle routing system (E2ECAV) using a network of intelligent intersections …