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An Optimal Preview ANN Driver Model Based on Error Elimination Algorithm
Technical Paper
2005-01-3495
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
For the purposes of on-line control, e.g., in an automatic driving system, or of closed-loop directional control simulation, an optimal preview artificial neural network (ANN) driver model based on error elimination algorithm(EEA) is built. Then the optimal preview times are discussed in high frequency range in this system. The simulation results of optimal preview ANN driver model and Error Elimination Algorithm driver model are compared under the condition of different vehicle speeds and paths, which shows that the proposed approach is efficient and reliable enough, particularly for driver-vehicle closed-loop system.
Authors
Citation
Zhuang, D., Yu, F., and Li, D., "An Optimal Preview ANN Driver Model Based on Error Elimination Algorithm," SAE Technical Paper 2005-01-3495, 2005, https://doi.org/10.4271/2005-01-3495.Also In
New Concepts in Commercial Vehicle Suspensions, Advancements in Braking, Steering, and Stability and Handling Simulation
Number: SP-1984; Published: 2005-11-01
Number: SP-1984; Published: 2005-11-01
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