IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-1-4419-6142-6_4.html
   My bibliography  Save this book chapter

Traffic Simulation with Paramics

In: Fundamentals of Traffic Simulation

Author

Listed:
  • Pete Sykes

    (SIAS Ltd)

Abstract

S-Paramics is a microsimulation modelling package that has been developed by SIAS in Scotland over a period of 20 years. It has been available commercially since 2000 and is used to model road traffic at a scale ranging from single junction analysis to wide area networks. S-Paramics simulates the intentions, decisions and subsequent actions of each driver in the road network as they move towards their destination. Each driver chooses their best route based on the basic network characteristics and their knowledge of the likely congestion they will encounter. As they move through the network, each driver prioritises a set of decisions over which lane to use, what speed to select, when to change lane and when to cross or merge with traffic in another lane. Calibration in S-Paramics is driven by correctly describing the network topology and the travel demand in it. For example, values such as saturation flows or lane use proportions are regarded as outputs from S-Paramics to examine the performance of the road network and may not be used as inputs to assist calibration. By modelling the cause of an action rather than prescribing the effect in the model, the predictive power of the simulation is preserved in subsequent changes to the model to test proposed road network changes.

Suggested Citation

  • Pete Sykes, 2010. "Traffic Simulation with Paramics," International Series in Operations Research & Management Science, in: Jaume Barceló (ed.), Fundamentals of Traffic Simulation, chapter 0, pages 131-171, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-6142-6_4
    DOI: 10.1007/978-1-4419-6142-6_4
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Margherita Mascia & Simon Hu & Ke Han & Robin North & Martine Poppel & Jan Theunis & Carolien Beckx & Martin Litzenberger, 2017. "Impact of Traffic Management on Black Carbon Emissions: a Microsimulation Study," Networks and Spatial Economics, Springer, vol. 17(1), pages 269-291, March.
    2. Taghreed Alghamdi & Sifatul Mostafi & Ghadeer Abdelkader & Khalid Elgazzar, 2022. "A Comparative Study on Traffic Modeling Techniques for Predicting and Simulating Traffic Behavior," Future Internet, MDPI, vol. 14(10), pages 1-21, October.
    3. van Lint, J.W.C. & Calvert, S.C., 2018. "A generic multi-level framework for microscopic traffic simulation—Theory and an example case in modelling driver distraction," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 63-86.
    4. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:isochp:978-1-4419-6142-6_4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.