| dc.description.abstract | As smart connected vehicles become increasingly common and pave the way for the autonomous
vehicles of the future, their ability to provide enhanced safety and assistance services has improved.
One such service is the emergency transport of drivers in medical distress: as a positive solution
of the distress is typically more likely after timely response, an autonomous vehicle could cut on
emergency response times, and thus play a key role in saving the life of its driver.
In this paper, we show how such an autonomous emergency transport service can be run from
a wireless cellular network, and discuss the importance of having a human in the loop in order to
expedite driving. We present a Monte-Carlo-based driver assessment system that the network can
use when selecting the most suitable candidate to wirelessly tow an autonomous vehicle with an
incapacitated driver. We show that this mechanism results in a selection policy that ensures better
cohesion between the vehicles, thereby significantly improving service reliability by reducing the
chances of disruptions by intervening traffic. | es |
