Abstract
An accurate real-time simulation of traffic behaviour requires a large amount of very specific data. It seems obvious that the use of currently measured data from the field is a great opportunity to lead a simulation as close to reality as possible. Once a realistic simulation of the traffic behaviour is available, many applications are imaginable. It is possible to simulate different scenarios to support the decision making process. Forecasts of the impacts of different management strategies can be analyzed fast and easily to help improving the quality of urban traffic. Furthermore a prediction of future traffic states can be made using currently measured data of the traffic situation.
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References
SUMO – Simulation of Urban Mobility (2012). Institute of Transportation Systems, German Aerospace Center, Germany. http://sumo-sim.org. Accessed 12 December 2013
VAMOS - Verkehrs-Analyse-, Management- und Optimierungs-System (2012). Chair of Traffic Control Systems and Process Automation, Dresden University of Technology, Germany. http://www.vamosportal.de. Accessed 12 December 2013
Microscopic real-time simulation of Dresden using data from the traffic management system VAMOS, 19th ITS World Congress Vienna, Austria, 25 October 2012
http://www.dresden.de/de/08/02/publikationen/003_Verkehrsmengenkarte.php. Accessed 12 December 2013
Arlt, A.: Realitätsnahe Simulation des Verkehrsflusses auf der Süd-West-Umfahrung in Dresden mit SUMO unter Berücksichtigung des MIV und des ÖPNV (in German). Report student research project, Dresden University of Technology, Germany (2012)
Reiche, M.: Vorher-Nachher-Analyse der Emissionsbelastung am Knotenpunkt Nürnberger Platz im Rahmen der ÖPNV-Bevorrechtigung des NSV-Projektes (in German). Report student research project, Dresden University of Technology, Germany (2012)
Krumnow, M: Schaltzeitprognose verkehrsadaptiver Lichtsignalanlagen im Rahmen des Projektes EFA 2014/2, 8. VIMOS Konferenz, Dresden (2012)
Krumnow, M,: Verkehrsmikrosimulationen mit Echtzeitdaten – Herausforderungen und Chancen, 9. VIMOS Tagung, Dresden (2013)
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Krumnow, M., Kretschmer, A. (2014). Real-Time Simulations Based on Live Detector Data – Experiences of Using SUMO in a Traffic Management System. In: Behrisch, M., Krajzewicz, D., Weber, M. (eds) Simulation of Urban Mobility. SUMO 2013. Lecture Notes in Computer Science(), vol 8594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45079-6_10
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DOI: https://doi.org/10.1007/978-3-662-45079-6_10
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