  Recently, we developed a dynamic distributed end-to-end vehicle routing
system (E2ECAV) using a network of intelligent intersections and level 5 CAVs
(Djavadian & Farooq, 2018). The case study of the downtown Toronto Network
showed that E2ECAV has the ability to maximize throughput and reduce travel
time up to 40%. However, the efficiency of these new technologies relies on the
acceptance of users in adapting to them and their willingness to give control
fully or partially to CAVs. In this study a stated preference laboratory
experiment is designed employing Virtual Reality Immersive Environment (VIRE)
driving simulator to evaluate the behavioral response of drivers to E2ECAV. The
aim is to investigate under what conditions drivers are more willing to adapt.
The results show that factors such as locus of control, congestion level and
ability to multi-task have significant impact.
