CrowNet: Crowds in Networks
CrowNet is an open source simulation framework for the development of new networked mobility concepts and intelligent transportation systems. CrowNet has been developed as part of the roVer research project at Munich University of Applied Sciences that is funded by the Federal Ministry of Education and Research (Grant number: 13FH669IX6).
Features
CrowNet builds on state-of-the-art simulation frameworks for simulating mobile networks (OMNeT++, INET, VEINS, Artery, Simu5G) and mobility behavior (VADERE, SUMO). CrowNet extends these frameworks with several features.
| Detailed pedestrian mobility | Bi-directional interactions with pedestrian mobility | Sidelink based crowd monitoring | App based crowd management |
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Quick start
Please see the quick start example in our documentation.
License and dependencies
Within the CrowNet simulation environment, four open-source simulation frameworks are coupled:
- OMNeT++ - The simulation framework used for modelling communication and information dissemination
- VADERE - VADERE Crowd Simulation
- SUMO - Simulation of Urban Mobility
- flowcontrol - Simulation of crowd management strategies
The OMNeT++ simulation of communication and networking for disseminating mobility information is based on four open source simulation projects:
- INET - The INET Framework is a widely-used open-source model suite for wireless and wired networks. It includes models for all major Internet protocols.
- Simu5G - Sim5G provides a 5G and LTE/LTE-A user plane simulation model for INET and OMNeT++.
- Artery - Artery V2X Simulation Framework
- VEINS - Vehicles in Network Simulation (VEINS) is an open-source vehicular network simulation framework.
Our CrowNet features are intended for academic and commercial purpose, see our license. Please check the licenses of the projects listed above for your use case and purchase licenses if necessary.
Scientific publications
Please refer to this repository when you use CrowNet in scientific publications. Publications in which CrowNet was used:
- S. Schuhbäck, L. Wischhof, J. Ott (2023): Cellular Sidelink Enabled Decentralized Pedestrian Sensing, IEEE Access. doi: 10.1109/access.2023.3242946
- C. M. Mayr, A. Templeton, G. Köster (2023): Designing mobile application messages to impact route choice: A survey and simulation study, Plos One, 18(4), pp. 1-20. doi: 10.1371/journal.pone.0284540
- L. Wischhof, M. Kilian, S. Schuhbäck, G. Köster (2022): On the Influence of Microscopic Mobility in Modelling Pedestrian Communication, UNet22, Montreal, Canada, doi: 10.1007/978-3-031-29419-8_1
- C. M. Mayr, G. Köster (2022): Guiding crowds when facing limited compliance: Simulating strategies, Plos One, 17(11), pp. 1-24. doi: 10.1371/journal.pone.0276229
- L. Wischhof, J. A. Krahl, R. Müllner (2022): Stimuli Generation for Quality-of-Experience Evaluation of Mobile Applications. iJIM, 16(06), pp. 113–134. doi: 10.3991/ijim.v16i06.28691
- M. Rupp, L. Wischhof (2022): Prioritization for Latency Reduction in 5G MEC-Based VRU Protection Systems, IEEE WiMob 2022, doi: 10.1109/wimob55322.2022.9941690
- C. M. Mayr, S. Schuhbäck, L. Wischhof, G. Köster (2021): Analysis of Information Dissemination through Direct Communication in a Moving Crowd, Safety Science, Volume 142, doi: 10.1016/j.ssci.2021.105386
- S. Schuhbäck, L. Wischhof (2021), Decentralized Pedestrian Density Maps based on Sidelink Communication, IEEE International Conference on Communications COVI-COM, 14.-23. June 2021, Montreal, Canada, doi: 10.1109/ICCWorkshops50388.2021.9473545
- M. Rupp, S. Schuhbäck, L. Wischhof (2021): Coupling Microscopic Mobility and Mobile Network Emulation for Pedestrian Communication Applications, 8th OMNeT++ Community Summit, arXiv:2109.12018v1
- L. Wischhof, F. Schaipp, S. Schuhbäck, G. Köster (2020): Simulation vs. Testbed: Small Scale Experimental Validation of an Open-Source LTE-A Model, PIMRC 2020, doi: 10.1109/pimrc48278.2020.9217163
- S. Schuhbäck, N. Daßler, L. Wischhof, G. Köster (2019): Towards a Bidirectional Coupling of Pedestrian Dynamics and Mobile Communication Simulation, 6th OMNeT++ Community Summit, doi: 10.29007/nnfj