Models on the Road

  • Thomas BenzEmail author
  • Evangelia Gaitanidou
  • Andreas Tapani
  • Silvana Toffolo
  • George Yannis
  • Ioanna Spyropoulou


In this chapter, the application of macro and micro traffic simulation modelling for the needs of road safety assessment and planning is dealt. The overall concept of traffic simulation modelling regarding safety is presented, together with a series of macro and micro simulation models (namely RuTSim, S-Paramics, SATURN and VISSIM) that are widely used and have been specifically applied for the needs of IN-SAFETY project. ITS and ADAS related scenarios defined within IN-SAFETY, aiming to enhance the road safety level, have been tested through specially developed applications of these models and their results indicate the influence of the use of such technologies, as well as the effectiveness of the selected models in simulating and evaluating their effects. Future enhancement in the models will provide the possibility of further using them in the context of road safety and the involvement of innovative technologies.


Traffic Volume Penetration Rate Route Choice Road Section Lane Change 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. A. Anund, Th. Benz, E. Gaitanidou, J. Spyropoulou, S. Toffolo, Improved micro and macro simulation models. IN-SAFETY, Deliverable D3.1, February 2007Google Scholar
  2. R.F.T. Brouwer, D.M. Hoedemaeker (eds.), Driver support and information systems: experiments on learning, appropriation and effects of adaptiveness. AIDE IST-1-507674-IP, Deliverable D1.2.3, February 2006Google Scholar
  3. A. Carlsson, A. Tapani, Rural highway design through traffic simulation, in Proceedings of the 5th International Symposium of Highway Capacity and Quality of Service, Yokohama, Japan, 2006Google Scholar
  4. M.D. Hall, D. Vliet, L.G. van Willumsen, SATURN – A simulation-assignment model for the evaluation of traffic management schemes. Traffic Engineering and Control, 21, 168–176. (1980)Google Scholar
  5. J. Lundgren, A. Tapani, Evaluation of driver assistance systems through traffic simulation. Transport. Res. Rec. 1953, 81–88 (2006)CrossRefGoogle Scholar
  6. Matzoros, A., Randle, J, Vliet, D. van Weston B., A validation of SATURN using before and after survey data from Manchester. Traffic Engineering and Control, 28, 641–643 (1987)Google Scholar
  7. J. Gulliver, D.J. Briggs, Time–space modeling of journey-time exposure to traffic-related air pollution using GIS. Environmental Research, 97(1), 10–25 (2005)Google Scholar
  8. A. Tapani, Versatile model for simulation of rural road traffic. Transport. Res. Rec. 1934, 169–178 (2005)CrossRefGoogle Scholar
  9. Th. Benz, Evaluation of intelligent vehicle safety systems – a state-of-the-art example, in 15th World Congress on Intelligent Transport Systems, New York, 2008Google Scholar
  10. E.P. Todosiev, The Action Point Model of the Driver-Vehicle system, Engineering Experiment Station, Ohio State University Columbus, Ohio, Rep. Nr. 202A-1, 1963Google Scholar
  11. M. Treiber, A. Hennecke, D. Helbing, Congested traffic states in empirical observations and microscopic simulations. Phys. Rev. E 62(2), 1805–1824 (2000)CrossRefGoogle Scholar
  12. M. Treiber, A. Kesting, D. Helbing, Delays, inaccuracies and anticipation in microscopic traffic models. Phys. Stat. Mech. Appl. 360, 71–88 (2006)CrossRefGoogle Scholar
  13. D. Van Vliet, SATURN, a modern assignment model. Traffic Engineering and Control, 23, pp. 578–581 (1982)Google Scholar
  14. Vliet, D. van, Vuren, T. van, Smith M. J., The interaction between signal setting optimisation and reassignment: Background and preliminary results. Transportation Research Record, 1142, 16–21 (1987)Google Scholar
  15. R. Wiedemann, Simulation des Straßenverkehrsflusses (Schriftenreihe des Instituts für Verkehrswesen der Universität Karlsruhe, Heft 8, Karlsruhe, 1974)Google Scholar
  16. R. Wiedemann, Modeling of RTI-elements on multi-lane roads, in Advanced Telematics in Road Transport edited by the Commission of the European Community, DG XIII, Brussels, 1991Google Scholar
  17. R. Wiedemann, U. Reiter, Microscopic traffic simulation: the simulation system MISSION, background and actual state. Project ICARUS (V1052) Final Report. Brussels, CEC. 2: Appendix A. (1992)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Thomas Benz
    • 1
    Email author
  • Evangelia Gaitanidou
    • 2
  • Andreas Tapani
    • 3
  • Silvana Toffolo
    • 4
  • George Yannis
    • 5
  • Ioanna Spyropoulou
    • 5
  1. 1.PTV AGKarlsruheGermany
  2. 2.Centre for Research and Technology HellasHellenic Institute of Transport (CERTH/HIT)ThessalonikiGreece
  3. 3.Swedish National Road and Transport Research Institute (VTI)LinköpingSweden
  4. 4.IVECO, ER&CTorinoItaly
  5. 5.National Technical University of Athens (NTUA)AthensGreece

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