Creating an Interactive Urban Traffic System for the Simulation of Different Traffic Scenarios
Source abstract
Abstract
The social and political efforts to fight climate change have contributed to a re-thinking of traffic systems, especially in urban areas under constant transformation. To simulate and visualize planning scenarios of urban traffic systems in a realistic way, the possibilities of virtual 3D environments have regularly been used. The modern potentials of (immersive) virtual reality, however, still require exploration, evaluation, and further development. Using the game engine Unity, an immersive virtual environment was developed to visualize and experience dynamic traffic conditions of a highly dense urban area. The case study is based on the characteristic model of a Central European city (not a representation of a real city), which brings together the specific considerations of urban traffic, such as mirroring the complex interplay of pedestrians as well as individual and public transport. This contribution has an applied methodological focus and considers possibilities as well as difficulties in the design of a reliably running (open-end) traffic system. The applied tool for the creation of a modular and customizable traffic system in Unity resulted in a traffic system that is capable of reacting to the individual behavior of the user (including the individualized motion of the avatar), without leading to accidents or uncorrectable traffic jams. Therefore, the tool used could be a valuable option for any developer of immersive virtual environments in Unity to equip these immersive virtual environments with a traffic system, without the use of additional third-party software.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Virtual Reality Applications and Impacts · 3D Modeling in Geospatial Applications · Evacuation and Crowd Dynamics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Geomatics Group, Institute of Geography, Ruhr-University Bochum (RUB), 44801 Bochum, Germany
Funding
Ministry of Education North Rhine-Westfalia
References (31)
Show source-provided references
1. Beben, D., Maleska, T., Bobra, P., Duda, J., and Anigacz, W. (2022). Influence of traffic-induced vibrations on humans and residential building—A case study. Int. J. Environ. Res. Public Health, 19.10.3390/ijerph19095441 ↗
2. Noise and environmental pollution from transport: Decisive problems in developing ecologically efficient transport systems10.21595/jve.2017.19371 ↗
3. Noise pollution and urban planning10.1007/s40726-018-0095-7 ↗
4. Simulation of traffic systems—An overview
5. Modelling and simulation of urban traffic systems: Present and future10.1504/IJCCPS.2021.113100 ↗
6. Realistic road modelling for driving simulators using GIS data10.1007/978-3-642-19214-2_29 ↗
7. Etches, A., Claramunt, C., Bargiela, A., and Kosonen, I. (1998). An integrated temporal GIS for model traffic systems. GIS Res. UK VI Natl. Conf., 1–12. Available online: https://www.researchgate.net/publication/266527833_An_Integrated_Temporal_GIS_Model_for_Traffic_Systems.
8. Modeling commuter trip length and duration within GIS: Application to an O-D survey
9. Microscopic traffic modeling on parallel high performance computers10.1016/0167-8191(94)90117-1 ↗
10. 3D road traffic situation simulation system10.1016/j.advengsoft.2004.07.007 ↗
11. A framework for 3D traffic noise mapping using data from BIM and GIS integration10.1080/15732479.2015.1110603 ↗
12. Wang, C., Chen, G., Liu, Y., and Horne, M. (2008, January 12–14). Virtual-reality based integrated traffic simulation for urban planning. Proceedings of the 2008 International Conference on Computer Science and Software Engineering, Wuhan, China.
13. Realistic data-driven traffic flow animation using texture synthesis10.1109/TVCG.2017.2648790 ↗
14. Real-virtual fusion model for traffic animation: Real-virtual fusion model for traffic animation10.1002/cav.1740 ↗
15. Multi-agent based modeling and simulation of microscopic traffic in virtual reality system10.1016/j.simpat.2014.04.001 ↗
16. Matviienko, A., Müller, F., Zickler, M., Gasche, L.A., Abels, J., Steinert, T., and Mühlhäuser, M. (May, January 29). Reducing virtual reality sickness for cyclists in VR bicycle simulators. Proceedings of the CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA.
17. Alt, F., Schneegass, S., and Hornecker, E. (2020, January 6–9). BikeVR: A virtual reality bicycle simulator towards sustainable urban space and traffic planning. Proceedings of the Mensch und Computer 2020, Magdeburg, Germany. Tagungsband.
18. Zeuwts, L.H.R.H., Vanhuele, R., Vansteenkiste, P., Deconinck, F.J.A., and Lenoir, M. (2023). Using an immersive virtual reality bicycle simulator to evaluate hazard detection and anticipation of overt and covert traffic situations in young bicyclists. Virtual Real., 1–21.10.1007/s10055-023-00746-7 ↗
19. Audiovisual cartography: Established and new multimedia approaches to represent soundscapes10.1007/s42489-019-00004-4 ↗
20. Using virtual reality to assess the street crossing behavior of pedes-trians with simulated macular degeneration at a roundabout10.3389/fict.2018.00027 ↗
21. Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning10.1016/j.trc.2020.102962 ↗
22. Leveraging digital twin and game-engine for traffic simulations and visualizations10.3389/frvir.2023.1048753 ↗
23. Game theory-based ramp merging for mixed traffic with unity-SUMO co-simulation10.1109/TSMC.2021.3131431 ↗
24. Traffic simulation and autonomous driving experiment in VIPLE10.1007/978-981-99-2252-9_1 ↗
25. Liu, L., Ye, X., Wang, T., Yan, X., Chen, J., and Ran, B. (2022). Key factors analysis of severity of automobile to two-wheeler traffic accidents based on Bayesian network. Int. J. Environ. Res. Public Health, 19.10.3390/ijerph19106013 ↗
26. Creating immersive virtual environments based on open geospatial data and game engines10.1007/s42489-020-00069-6 ↗
27. Immersive VR experience of redeveloped post-industrial sites: The example of “Zeche Holland” in Bochum-Wattenscheid10.1007/s42489-019-00030-2 ↗
28. Transforming earth science education through immersive experiences: Delivering on a long held promise10.1177/0735633119854025 ↗
29. Different levels of complexity for integrating textured extra-terrestrial elevation data in game engines for educational augmented and virtual reality applications10.1007/s42489-021-00090-3 ↗
30. Edler, D., Jenal, C., and Kühne, O. (2020). Modern Approaches to the Visualization of Landscapes, Springer Fachmedien Wiesbaden. RaumFragen: Stadt–Region–Landschaft.10.1007/978-3-658-30956-5 ↗
31. Keil, J., Weißmann, M., Korte, A., Edler, D., and Dickmann, F. (2023). Measuring physiological responses to visualizations of urban planning scenarios in immersive virtual reality. KN J. Cartogr. Geogr. Inf., 1–10.10.1007/s42489-023-00137-7 ↗