In vehicular traffic, reactions to new traffic situations are subject to several mechanisms of time delay. Besides the reaction time of the drivers (or sensors), the finite acceleration capabilities lead to a nonzero "velocity adaptation time" to perform the action itself (e.g. changing the velocity). The commonly used explicit integration schemes for simulating the models introduce the update time as a third delay parameter. By means of numerical simulations with a time-continuous car-following model, we investigate how these times interplay with each other. We show that the three delay times give rise to two types of instabilities: The long-wavelength string instability is mainly driven by the velocity adaptation time while short-wavelength local instabilities arise for sufficiently high reaction and update times. We show that, with respect to stability, there is an 'optimal' adaptation time as a function of the reaction time and draw implications for human vs. semi-automated driving. © 2009 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Treiber, M., & Kesting, A. (2009). Modelling and simulating several time-delay mechanisms in human and automated driving. In Traffic and Granular Flow 2007 (pp. 413–419). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-540-77074-9_45
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