Stability analysis of an improved car-following model accounting for the driver's characteristics

What is it about?

The delayed decision and aggressiveness of drivers are represented via the integral term with kernel function and headway perturbation, and the automated controller consists of proportional–derivative element. Stability analysis is performed both driver’s characteristics and controller gains adopting frequency domain sweeping method. Stability regions of proposed model show the relationships between driver’s characteristics and automated controller. Some numerical examples are given to illustrate the effectiveness of the proposed methods and interpret the relation between driver’s characteristics and automated controller.

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Why is it important?

we attempt to reveal the intrinsic features, where drivers make decisions in consideration with memory and aggressiveness as well as the automated controller works in parallel to compensate the inter-vehicle gaps. Our focus is mainly on the effects of driver’s characteristics and automated controllers which attempts to capture new information that can be useful in designing controller gains.

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