Virtual Immersive Reality for Stated Preference Travel Behaviour Experiments: A Case Study of Autonomous Vehicles on Urban Roads
This addresses the problem of unrealistic scenarios in travel behavior experiments for urban planners and transportation researchers, though it is incremental as it applies an existing VR approach to a specific domain.
The researchers tackled the lack of realism in stated preference experiments for autonomous vehicles by developing a Virtual Immersive Reality Environment (VIRE), which resulted in better scenario understanding and more consistent results compared to text-only and visual aid methods.
Stated preference experiments have been known to suffer from the lack of realism. This issue is particularly visible when the scenario doesn't have a well understood prior reference e.g. in case of the autonomous vehicles related scenarios. We present Virtual Immersive Reality Environment (VIRE) that is capable of developing highly realistic, immersive, and interactive choice scenario. We demonstrate the use of VIRE in the pedestrian preferences related to autonomous vehicles and associated infrastructure changes on urban streets of Montréal. The results are compared with predominantly used approaches i.e. text-only and visual aid. We show that VIRE results in better understanding of the scenario and consistent results.