As smart connected vehicles become increasingly common, their ability to provide enhanced services has improved. One such service is the emergency transport of drivers in medical distress. In this paper, we show how such a service can be run from the 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 in selecting the most suitable candidate to tow an autonomous vehicle with an incapacitated driver. We show that this mechanism results in a selection policy that ensures sufficiently short spacing between the autonomously driven tail/towed vehicle and the human driven lead/towing vehicle ensuring that no other vehicles get in the way to disrupt the service.
I Move U Move: V2X-Enabled Wireless Towing / Ayimba, Constantine; Sciancalepore, Vincenzo; Casari, Paolo; Mancuso, Vincenzo. - 3189:(2022), pp. [1-9]. (Intervento presentato al convegno 1st International Workshop on Artificial Intelligence in Beyond 5G and 6G Wireless Networks, AI6G 2022 tenutosi a Padova, Italy nel July 2022).
I Move U Move: V2X-Enabled Wireless Towing
Paolo Casari;
2022-01-01
Abstract
As smart connected vehicles become increasingly common, their ability to provide enhanced services has improved. One such service is the emergency transport of drivers in medical distress. In this paper, we show how such a service can be run from the 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 in selecting the most suitable candidate to tow an autonomous vehicle with an incapacitated driver. We show that this mechanism results in a selection policy that ensures sufficiently short spacing between the autonomously driven tail/towed vehicle and the human driven lead/towing vehicle ensuring that no other vehicles get in the way to disrupt the service.File | Dimensione | Formato | |
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