English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The emergence dynamics of traffic instability has always attracted particularattention. For several decades, researchers have studied the stability oftraffic flow using deterministic traffic models, with less emphasis on thepresence of stochastic factors. However, recent empirical and theoreticalfindings have demonstrated that the stochastic factors tend to destabilizetraffic flow and stimulate the concave growth pattern of traffic oscillations.In this paper, we derive a string stability condition of a general stochasticcontinuous car-following model by the mean of the generalized Lyapunovequation. We have found, indeed, that the presence of stochasticitydestabilizes the traffic flow. The impact of stochasticity depends on both thesensitivity to the gap and the sensitivity to the velocity difference.Numerical simulations of three typical car-following models have been carriedout to validate our theoretical analysis. Finally, we have calibrated andvalidated the stochastic car-following models against empirical data. It isfound that the stochastic car-following models reproduce the observed trafficinstability and capture the concave growth pattern of traffic oscillations. Ourresults further highlight theoretically and numerically that the stochasticfactors have a significant impact on traffic dynamics.

Stochastic factors and string stability of traffic flow: Analytical investigation and numerical study based on car-following models