Abstract
The typical approach to realistic 3D visualization of microscopic traffic data is usually location-specific and hence requires a lot of effort from the user to generate an eye-pleasing model. We present a simulation/location/data-neutral 3D visualization software module that allows the 3D display of an XML-coded road network, vehicles and communication involving vehicles. These objects are automatically modeled from source data with empty space filled in an intelligent way. The simulation can be freely explored in time and space. Vehicles can be color-coded, viewed from above or from the driver’s perspective, or alternatively in a traditional 2D form. Furthermore, online statistics on the current vehicle’s and traffic state of the can be configured and displayed.
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References
Barceló, J.: Fundamentals of Traffic Simulation. Springer, Heidelberg (2010)
Härri, J., Cataldi, P., Krajzewicz, D., Blokpoel, R. J., Lopez, Y., Leguay, J., Bieker, L.: Modeling and simulating ITS applications with iTETRIS. In: Proceedings of the 6th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks, pp. 33–40. ACM, New York (2011)
Rieck, D., Schünemann, B., Radusch, I., Meinel, C.: Efficient traffic simulator coupling in a distributed V2X simulation environment. In: Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques, Article No. 72. ICST, Brussels (2010)
Baur, M., Fullerton, M., Busch, F.: Realizing an effective and flexible ITS evaluation strategy through modular and multi-scaled traffic simulation. Intell. Transp. Syst. Mag. 2, 34–42 (2010)
Krajzewicz, D.: Traffic simulation with SUMO - Simulation of Urban Mobility. In: Barceló, J. (ed.) Fundamentals of Traffic Simulation. International Series in Operations Research and Management Science, pp. 269–294. Springer, Heidelberg (2010)
SUMO User Documentation - Networks/Building Networks from own XML-descriptions. http://sumo.sourceforge.net/doc/current/docs/userdoc/Networks/Building_Networks_from_own_XML-descriptions.html
Fellendorf, M., Vortisch, P.: Microscopic traffic flow simulator VISSIM. In: Barceló, J. (ed.) Fundamentals of Traffic Simulation. International Series in Operations Research and Management Science, pp. 63–93. Springer, Heidelberg (2010)
jMonkeyEngine. http://www.jmonkeyengine.com
Blender. http://www.blender.org
TurboSquid. http://www.turbosquid.com
simTD, - Safe and Intelligent Mobility Test Field Germany. http://www.simtd.de/index.dhtml//-/enEN
SOCIONICAL - Complex socio-technical system in ambient intelligence. http://cordis.europa.eu/projects/rcn/89519_en.html
ECOMOVE - Cooperative Mobility Systems and Services for Energy Efficiency. http://cordis.europa.eu/projects/rcn/94140_en.html
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Fullerton, M., Wenger, A., Baur, M., Schimandl, F., Lüßmann, J., Hoffmann, S. (2014). 3D Visualization for Microscopic Traffic Data Sources. 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_7
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DOI: https://doi.org/10.1007/978-3-662-45079-6_7
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