Game-Based Driver–Automation Cooperative Control Considering Driver Neuromuscular Delay

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Authors: Jun Liu, Hongyan Guo, Hong Chen, Dongpu Cao, Zhenhai Gao
Cited by: 1
References: 39

Abstract

A game-based cooperative steering control (GCSC) approach is introduced to facilitate effective collaboration between human drivers and automation, incorporating the neuromuscular delay inherent in human responses. In this framework, a dynamic coordination between driver and automation goals is achieved through the establishment of a game equilibrium in instances of driver and automation conflict. In response to the challenges posed by frequent modifications in driving weights and their subsequent burden on human drivers, this article proposes a strategy that integrates fixed initial weights with dynamic adjustments to driver–automation driving weights. Moreover, a comprehensive evaluation method including subjective and objective evaluation indexes is proposed. Different drivers are invited to perform virtual driving experiments, and the experimental results are analyzed by the proposed evaluation method. It is concluded that the driver’s driving weight should be kept at a high level during cooperative steering control when the driver’s intention cannot be perfectly obtained, and the determination of the driving weight should also consider the driver’s driving skills.

Fields of Study & Subjects

Traffic control and management Autonomous Vehicle Technology and Safety Vehicle Dynamics and Control Systems

Publication details

Journal / source
IEEE Transactions on Systems Man and Cybernetics Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
56
Issue
2
Pages
834–848
Publication date
16 January 2026