A variable weight adaptive cruise control strategy based on lane change recognition of leading vehicle

نویسندگان

چکیده

The traditional adaptive cruise system is responsible for delay in recognizing the cut-in/cut-out behaviour of front vehicle, and there significant longitudinal acceleration vehicle fluctuation leading to reduced driver’s comfort level even dangerous situation. In this paper, next generation simulation data set back propagation (BP) neural network are used train lane change recognition model recognize preceding vehicle. higher controller adopts variable weight linear quadratic optimal control adjust parameters according results reduce acceleration. lower layer fuzzy proportional-integral-derivative (PID) follow expected builds inverse dynamic model. Through CarSim/Simulink co-simulation, show that, under cut-in or cut-out working conditions, can be recognized, following target switched advance, adjusted large reduced.

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ژورنال

عنوان ژورنال: Automatika

سال: 2022

ISSN: ['0005-1144', '1848-3380']

DOI: https://doi.org/10.1080/00051144.2022.2055913