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Traffic Simulation with DRACULA

  • Ronghui LiuEmail author
Chapter
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 145)

Abstract

The dynamic network microsimulation framework DRACULA (Dynamic Route Assignment Combining User Learning and microsimulation) has been developedat the University of Leeds, UK since 1993. It was developed as a tool to investigate the dynamics between demand and supply interactions in road networks. The emphasis is therefore on the integrated microsimulation of individual trip makers’ decisions, travel experiences, and learning. This is represented through a microscopic dynamic traffic assignment model based on the explicit modelling of individuals’ day-to-day route and departure time choices and how their past experience and knowledge of the network influence their future choices. Coupled with that is a detailed within-day traffic microsimulation based on car-following and lane-changing rules.

This chapterprovides an updated overview on the main functions of DRACULA model. The recent focus of our research on the issues of model calibration and validation is discussed. Some of the extended features of the software, on modelling the overtaking behaviour on two-lane rural roads and the fully integration with a microscopic model of public transport operations and demand, are represented.

Keywords

Route Choice Traffic Simulation Dynamic Traffic Assignment Passenger Demand Route Choice Model 
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.

Notes

Acknowledgements

The author is grateful to Jiao Wang, Yaron Hollander, and Shalini Sinha for their contributions made whilst carrying out their studies at the University of Leeds.

References

  1. Bonsall P, Liu R, Young W (2005) Modelling safety-related driving behaviour – impact of parameter values. Trans Res 39A:425–444Google Scholar
  2. Brackstone M, Sultan B, McDonald M (2002) Motorway driver behaviour: studies on car following. Trans Res 5F:31–46Google Scholar
  3. Dowling R, Skabardonis A, Halkias J, McHales G, Zammit G (2004) Guidelines for calibration of microsimulation models: framework and applications. Trans Res Record 1876:1–9CrossRefGoogle Scholar
  4. Gipps PG (1981) A behavioural car-following model for computer simulation. Trans Res 15B:105–111Google Scholar
  5. Hazelton M, Watling DP (2004) Computation of equilibrium distributions of Markov Traffic-Assignment Models. Trans Sci 38(3):31–342CrossRefGoogle Scholar
  6. Hill P, Liu R, May AD, Schmocker J-D, Shepherd S (2001) Characterising congestion on urban road networks. Park C-H (ed) Selected proceedings of 9th world Conference on transport research, vol 2. Elsevier, Seoul, 2001Google Scholar
  7. Hollander Y, Liu R (2008a) The principles of calibrating traffic microsimulation models. Transportation 35(3):347–362CrossRefGoogle Scholar
  8. Hollander Y, Liu R (2008b) Estimation of the distribution of travel times by repeated simulation. Trans Res 16C:212–231Google Scholar
  9. Horowitz JL (1984) The stability of stochastic equilibrium in a two link transportation network. Trans Res 8B:13–28Google Scholar
  10. Hourdakis J, Michalopoulos PG, Kottommannil J (2003) A practical procedure for calibrating microscopic traffic simulation models. J Trans Res Board No. 1852:130–139CrossRefGoogle Scholar
  11. Leutzbach W, Wiedemann R (1986) Development and applications of traffic simulation models at the Karlsruhe Institut Fur Verkehrwese. Traffic Eng Control 27, 270–278Google Scholar
  12. Liu R (2004) Analysis of congested networks. Proceedings of 5th Triennial Symposium on Transportation Analysis, Guadeloupe, June, 2004Google Scholar
  13. Liu R (2005) The DRACULA microscopic traffic simulation model. Kitamura R, Kuwahara M (eds) Transport simulation, Springer, New YorkGoogle Scholar
  14. Liu R, Hyman G (2008) Towards a generic guidance for modelling motorway merge. Paper presented at ETC Conference, Leiden, Oct 2008Google Scholar
  15. Liu R, Li X (2008) Stability of a car-following model: an engineering analysis. Paper presented at UTSG annual conference, Southampton, January 2008Google Scholar
  16. Liu R, Sinha S (2007) Modelling urban bus service and passenger reliability. Paper presented at the international symposium on transportation network reliability, The Hague, July 2007Google Scholar
  17. Liu R, van Vliet D, Watling D (2006) Microsimulation models incorporating both demand and supply dynamics. Trans Res 40A:125–150Google Scholar
  18. Liu R, Wang J (2007) A general framework for the calibration and validation of car-following models along an uninterrupted open highway. In: Heydecker B (ed) Mathematics in transport, pp 111–124Google Scholar
  19. Mahmassani HS, Jayakrishnan R (1991) System performance and user response under real-time information in a congested traffic corridor. Trans Res 25A:293–308Google Scholar
  20. McLean JR (1989) Two-lane highway traffic operations: theory and practice. Gordon and Breach Publishers, New YorkGoogle Scholar
  21. Toledo T, Koutsopoulos HN, Davol, A Ben-Akiva ME (2003) Calibration and validation of microscopic traffic simulation tools: Stockholm case study. J Trans Res Record 1831:65–75CrossRefGoogle Scholar
  22. Van Vliet D (1982) SATURN – a modern assignment model. Traffic Eng Control 23(12):578–581Google Scholar
  23. Wang J, Liu R, Montgomery FO (2005a) A car following model for motorway traffic. J Trans Res Record 1934:3–42Google Scholar
  24. Wang J, Liu R, Montgomery FO (2005b) A simulation model of motorway merging behaviour. In: Mahmassani H (ed) Transportation and traffic theory: flow, dynamics and human interaction, pp 281–302, Elsevier, OxfordGoogle Scholar
  25. Zhang HM, Kim T (2001) A car-following theory for multiphase vehicular traffic flow. Presented at 80th TRB annual conference, Washington DC, 2001Google Scholar
  26. Zheng P (2002) A microscopic simulation model of merging operation at motorway on-ramps. PhD thesis, University of Southampton, UKGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Institute for Transport StudiesUniversity of LeedsLeedsUK

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