This title appears in the Scientific Report : 2016 

Jam avoidance with autonomous systems
Tordeux, Antoine (Corresponding author)
Lassarre, Sylvain
Jülich Supercomputing Center; JSC
Traffic and Granular Flow '15 / Knoop, Victor L. (Editor) ; Cham : Springer International Publishing, 2016, Chapter 52 ; ISBN: 978-3-319-33481-3
Cham Springer International Publishing 2016
411-418
10.1007/978-3-319-33482-0_52
Traffic and Granular Flow '15, Delft (The Netherlands), 2015-10-28 - 2015-10-30
Contribution to a book
Contribution to a conference proceedings
Computational Science and Mathematical Methods
OpenAccess
OpenAccess
Please use the identifier: http://hdl.handle.net/2128/13177 in citations.
Please use the identifier: http://dx.doi.org/10.1007/978-3-319-33482-0_52 in citations.
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.