The problem of mathematically modeling traffic flows has been tackled, with different approaches, since the first decades of the last century. The classic framework that accounts only for human-driven cars is bound to change due to the rise of autonomous driving technologies, which will deeply transform mobility, as well as general driving rules and infrastructures. It is therefore urgent to design novel approaches for modeling the transition phase, where autonomous vehicles and human-driven vehicles will have to coexist, and to devise appropriate solutions for their coordination. In this paper, we provide a brief overview of the most recent studies on the transition scenario, and outline the main challenges and perspectives that are likely to appear in the near future for this case.

Traffic Flow Modelling When Autonomous Vehicles Coexist with Human Driven Vehicles: Perspectives and Challenges / Cabri, G.; Crisci, S.; Montangero, M.. - 1026:(2022), pp. 169-177. (Intervento presentato al convegno 14th International Symposium on Intelligent Distributed Computing, IDC 2021 tenutosi a Online nel 2021) [10.1007/978-3-030-96627-0_16].

Traffic Flow Modelling When Autonomous Vehicles Coexist with Human Driven Vehicles: Perspectives and Challenges

Cabri G.
;
Montangero M.
2022

Abstract

The problem of mathematically modeling traffic flows has been tackled, with different approaches, since the first decades of the last century. The classic framework that accounts only for human-driven cars is bound to change due to the rise of autonomous driving technologies, which will deeply transform mobility, as well as general driving rules and infrastructures. It is therefore urgent to design novel approaches for modeling the transition phase, where autonomous vehicles and human-driven vehicles will have to coexist, and to devise appropriate solutions for their coordination. In this paper, we provide a brief overview of the most recent studies on the transition scenario, and outline the main challenges and perspectives that are likely to appear in the near future for this case.
2022
14th International Symposium on Intelligent Distributed Computing, IDC 2021
Online
2021
1026
169
177
Cabri, G.; Crisci, S.; Montangero, M.
Traffic Flow Modelling When Autonomous Vehicles Coexist with Human Driven Vehicles: Perspectives and Challenges / Cabri, G.; Crisci, S.; Montangero, M.. - 1026:(2022), pp. 169-177. (Intervento presentato al convegno 14th International Symposium on Intelligent Distributed Computing, IDC 2021 tenutosi a Online nel 2021) [10.1007/978-3-030-96627-0_16].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1278357
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