A Car-Following Model Considering the Next-Nearest-Neighbor Interaction of Electronic Throttle Information

Proceedings of the 5th International Symposium for Intelligent Transportation and Smart City (ITASC)(2023)

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摘要
Aiming at the problem that the nearest preceding car of the considered vehicle may leave the current lane and cause the latter to lose track reference, based on the classical FVD model, this paper design a more effective feedback control signal by considering the ET opening angle difference information from the next-nearest-neighbor interaction at the previous moment, and propose a new CAV cooperative driving following model. The effect of this new consideration upon the stability of CAV traffic flow is examined through linear stability analysis. A modified Korteweg-de Vries (mKdV) equation was derived via nonlinear analysis to describe the propagating behavior of traffic density wave near the critical point. Good agreement between the simulation and the analytical results shows that taking the next-nearest-neighbor interaction of electronic throttle historical information into account leads to the stabilization of traffic systems, and thus can efficiently suppress the emergence of traffic jamming. The results can be expected to provide a theoretical reference for designing more effective traffic congestion control strategies.
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关键词
Car-following Model, Electronic Throttle, Next-nearest-neighbor Interaction, Connected and Autonomous Vehicle
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