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Traffic Simulation with DRACULA

In: Fundamentals of Traffic Simulation

Author

Listed:
  • Ronghui Liu

    (University of Leeds)

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.

Suggested Citation

  • Ronghui Liu, 2010. "Traffic Simulation with DRACULA," International Series in Operations Research & Management Science, in: Jaume Barceló (ed.), Fundamentals of Traffic Simulation, chapter 0, pages 295-322, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-6142-6_8
    DOI: 10.1007/978-1-4419-6142-6_8
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    Cited by:

    1. Lv, Wei & Song, Wei-guo & Liu, Xiao-dong & Ma, Jian, 2013. "A microscopic lane changing process model for multilane traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(5), pages 1142-1152.
    2. Liu, Zhiyuan & Xie, Shen & Zhang, Honggang & Zhou, Dinghao & Yang, Yuwei, 2024. "A parallel computing framework for large-scale microscopic traffic simulation based on spectral partitioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
    3. Smith, M.J. & Liu, R. & Mounce, R., 2015. "Traffic control and route choice: Capacity maximisation and stability," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 863-885.
    4. Liu, Ronghui & May, Tony & Shepherd, Simon, 2011. "On the fundamental diagram and supply curves for congested urban networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(9), pages 951-965, November.

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