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Title: Model-based assessment of the impact of driver-assist vehicles using kinetic theory
Abstract In this paper, we consider a kinetic description of follow-the-leader traffic models, which we use to study the effect of vehicle-wise driver-assist control strategies at various scales, from that of the local traffic up to that of the macroscopic stream of vehicles. We provide theoretical evidence of the fact that some typical control strategies, such as the alignment of the speeds and the optimisation of the time headways, impact on the local traffic features (for instance, the speed and headway dispersion responsible for local traffic instabilities) but have virtually no effect on the observable macroscopic traffic trends (for instance, the flux/throughput of vehicles). This unobvious conclusion, which is in very nice agreement with recent field studies on autonomous vehicles, suggests that the kinetic approach may be a valid tool for an organic multiscale investigation and possibly the design of driver-assist algorithms.
Authors:
; ;
Award ID(s):
1837481
Publication Date:
NSF-PAR ID:
10204903
Journal Name:
Zeitschrift für angewandte Mathematik und Physik
Volume:
71
Issue:
5
ISSN:
0044-2275
Sponsoring Org:
National Science Foundation
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