Freeway Traffic Management in Presence of Vehicle Automation and Communication Systems (VACS)
During the last decade, there has been a significant effort to develop a variety of Vehicle Automation and Communication Systems (VACS). These are expected to revolutionise the features and capabilities of individual vehicles within the next decades. The introduction of VACS brings along the (sometimes ignored) necessity and continuously growing opportunities for accordingly adapted or utterly new Traffic Management (TM) actions and strategies. This calls for a new era of freeway TM research and practice, which is indispensable in order to accompany, complement and exploit the evolving VACS deployment. Specifically, the development of new traffic flow modelling and control approaches should become a priority in the years to come.
KeywordsTraffic management Traffic control Traffic flow modelling Vehicle automation
The research leading to these results has been conducted in the frame of the project TRAMAN21, which has received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP/2007–2013)/ERC Advanced Grant Agreement no. 321132.
- 2.Diakaki C, Papageorgiou M, Papamichail I, Nikolos I, Iordanidou G-R, Porfyri K (2014) Overview and analysis of vehicle automation and communication systems from a motorway traffic management perspective, deliverable 1 of the ERC (European Research Council) Advanced Investigator Grant project TRAMAN21 (FP7-ERC Grant Agreement no. 321132), Chania, GreeceGoogle Scholar
- 3.SMART EC Project (2011) Definition of necessary vehicle and infrastructure systems for automated driving—final reportGoogle Scholar
- 4.HAVEit EC Project (2011) The future of driving—final reportGoogle Scholar
- 5.Viti F, Hoogendoorn SP, Alkim TP, Bootsma G (2008) Driving behavior adaptation under ACC: results from a large field operational test in The Netherlands. In: Preprints of the intelligent vehicle symposium. Eindhoven, The Netherlands, pp 745–750Google Scholar
- 6.Benmimoun M, Pütz A, Zlocki A, Eckstein L (2013) Impact assessment of adaptive cruise control (ACC) and forward collision warning (FCW) within a field operational test in Europe. In: Preprints of the 92nd annual meeting of the transportation research board. Washington DC, USAGoogle Scholar
- 7.Toulminet G, Boussuge J, Laurgeau C (2010) Interoperable cooperative traffic management services demonstrated on the French site of the European project COOPERS. In: Proceedings of 13th international IEEE conference on intelligent transportation systems. Madeira, PortugalGoogle Scholar
- 11.Dragutinovic N, Brookhuis KA, Hagenzieker MP, Marchau VAWJ (2005) Behavioural effects of advanced cruise control use—a meta-analytic approach. Eur J Transport Infrastruct Res 5:267–280Google Scholar
- 16.Ntousakis IA, Porfyri K, Nikolos IK, Papageorgiou M (2014) Assessing the impact of a cooperative merging system on highway traffic using a microscopic flow simulator. In: Proceedings of the ASME 2014 international mechanical engineering conference and exposition (IMECE2014). Montreal, Quebec, Canada, 14–20 Nov 2014. Paper no. IMECE2014-39850Google Scholar
- 17.Ntousakis IA, Nikolos IK, Papageorgiou M (2014) On microscopic modelling of adaptive cruise control systems. In: 4th international symposium of transport simulation 2014 (ISTS 2014), Corsica, France, 1–4 June 2014Google Scholar
- 21.Ioannou PA, Sun J (1996) Robust adaptive control. Prentice Hall, New JerseyGoogle Scholar
- 23.Allgöwer F, Zheng A (eds) (2000) Nonlinear model predictive control. BirkhäuserGoogle Scholar
- 24.Roncoli C, Papamichail I, Papageorgiou M (2014) Model predictive control for multi-lane motorways in presence of VACS. In: Proceedings of the 17th international IEEE conference on intelligent transportation systems (ITSC 2014). Qingdao, China, pp 501–507Google Scholar