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
Crisci, S;
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.