Abstract
The paper discusses the issue of driving a car in a traffic flow that provides the highest speed under conditions of security guarantees. The basic assumption is an accurate knowledge of the speed of the controlled vehicle and its predecessor and the distance to it. The way to define the control law implementing the formulated objective is proposed for a separate vehicle as well as for a chain of connected autonomous vehicles. The results obtained can be used in two ways: (1) as a control program (in the “smart advice-tick” mode for a vehicle controlled by the driver and in the autopilot mode); (2) for estimating the maximum throughput of sections of the urban road network by computer simulation. In the latter case, an adequate means is the use of the obtained control as an element of the general “microscopic” model of traffic flow, which it is expedient to formulate in the form of a hybrid dynamical system—an event-switched process. Computational and information aspects as well as perspectives of the approach development are discussed.
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Valuev, A.M. (2020). A Control Strategy for Vehicles in a Traffic Flow Aimed at the Fastest Safe Motion. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education III. AIMEE 2019. Advances in Intelligent Systems and Computing, vol 1126. Springer, Cham. https://doi.org/10.1007/978-3-030-39162-1_27
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DOI: https://doi.org/10.1007/978-3-030-39162-1_27
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