Contribution to a conference proceedings/Contribution to a book FZJ-2016-01237

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Jam avoidance with autonomous systems

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2016
Springer International Publishing Cham

Traffic and Granular Flow '15 / Knoop, Victor L. (Editor) ; Cham : Springer International Publishing, 2016, Chapter 52 ; ISBN: 978-3-319-33481-3
Traffic and Granular Flow '15, TGF'15, DelftDelft, The Netherlands, 28 Oct 2015 - 30 Oct 20152015-10-282015-10-30
Cham : Springer International Publishing 411-418 () [10.1007/978-3-319-33482-0_52]

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Abstract: Many car-following models are developed for jam avoidance in highways. Two mechanisms are used to improve the stability: feedback control with autonomous models and increasing of the interaction within cooperative ones. In this paper, we compare the linear autonomous and collective optimal velocity (OV) models.We observe that the stability is significantly increased by adding predecessors in interaction with collective models. Yet autonomous and collective approaches are close when the speed difference term is taking into account. Within the linear OV models tested, the autonomous models including speed difference are sufficient to maximise the stability.


Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)

Appears in the scientific report 2016
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 Record created 2016-01-28, last modified 2021-01-29