Advertisement

Public Transport, Logistics and Rail Traffic Extensions in SUMO

  • Andreas Kendziorra
  • Melanie Weber
Conference paper
Part of the Lecture Notes in Mobility book series (LNMOB)

Abstract

Disasters and major events affect the efficiency of passenger and freight transportation. The project VABENE++ considers the question what happens when the transport network is disturbed due such an event. Within this project, the German Aerospace Centre developed a decision support tool that provides consolidated information and operation recommendations regarding individual motor car traffic based on traffic simulation performed by SUMO. Recently, it was aimed to realise simulation scenarios in which incidents impairing the transport network occur, and that focus on multimodal transportation systems. To enable this, the implementation of public transport in SUMO was extended and a new logistic concept was implemented. Furthermore, rail signals were implemented to enable more realistic rail-bound traffic, as this mode of transport is very significant for both public transport and logistics. The present paper presents these extensions in detail and outlines its usefulness in examples.

Keywords

SUMO Logistic Transport Public transport Railway 

References

  1. 1.
    Behrisch M, Erdmann J, Krajzewicz D (2010) Adding intermodality to the microscopic simulation package SUMO. In: MESM 2010, AlexandriaGoogle Scholar
  2. 2.
    Behrisch M, Bieker L, Erdmann J, Krajzewicz D (2011) SUMO - simulation of urban mobility: an overview. In: Proceedings of SIMUL 2011, the third international conference on advances in system simulation, BarcelonaGoogle Scholar
  3. 3.
    Bundesministerium des Inneren, Nationale Strategie zum Schutz Kritischer Infrastrukturen (KRITIS-Strategie) (2015). https://www.bmi.bund.de/SharedDocs/downloads/DE/publikationen/themen/bevoelkerungsschutz/kritis.html[Zugriff am 30 5 2018]
  4. 4.
    Erdmann J (2013) Multimodalität und Nachfragegenerierung mit SUMO. In: Workshop Intermodalität, BerlinGoogle Scholar
  5. 5.
    Erdmann J, Krajzewicz D (2015) Modelling pedestrian dynamics in SUMO, preprintGoogle Scholar
  6. 6.
    G. A. Center, SUMO wiki – container. http://sumo.dlr.de/wiki/Specification/Containers. [Zugriff am 25 03 2015]
  7. 7.
    German Aerospace Center, VABENE++ traffic management for large scale events and disasters. http://www.dlr.de/vabene/en/desktopdefault.aspx. [Zugriff am 4 2 2015]
  8. 8.
    German Aerospace Center, SUMO wiki. http://sumo.dlr.de/wiki/Vehicle_Type_Parameter_Defaults. [Zugriff am 4 2 2015]

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.German Aerospace CenterBerlinGermany

Personalised recommendations