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On the Influence of Microscopic Mobility in Modelling Pedestrian Communication

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Ubiquitous Networking (UNet 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13853))

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Abstract

In the recent past, wireless network simulations involving pedestrians are getting increasing attention within the research community. Examples are crowd networking, pedestrian communication via Sidelink/D2D, wireless contact tracing to fight the Covid-19 pandemic or the evaluation of Intelligent Transportation Systems (ITS) for the protection of Vulnerable Road Users (VRUs). Since in general the mobile communication depends on the position of the pedestrians, their mobility needs to be modeled. Often simplified mobility models such as the random-waypoint or cellular automata based models are used.

However, for ad hoc networks and Inter-Vehicular Communication (IVC), it is well-known that a detailed model for the microscopic mobility has a strong influence – which is why state-of-the-art simulation frameworks for IVC often combine vehicular mobility and network simulators. Therefore, this paper investigates to what extent a detailed modelling of the pedestrian mobility on an operational level influences the results of Pedestrian-to-X Communication (P2X) and its applications.

We model P2X scenarios within the open-source coupled simulation environment CrowNet. It enables us to simulate the identical P2X scenario while varying the pedestrian mobility simulator as well as the used model. Two communication scenarios (pedestrian to server via 5G New Radio, pedestrian to pedestrian via PC5 Sidelink) are investigated in different mobility scenarios. Initial results demonstrate that time- and location-dependent factors represented by detailed microscopic mobility models can have a significant influence on the results of wireless communication simulations, indicating a need for more detailed pedestrian mobility models in particular for scenarios with pedestrian crowds.

We thank the research office (FORWIN) of the Munich University of Applied Sciences for supporting the research collaboration. The authors gratefully acknowledge the support by the Faculty Graduate Center CeDoSIA of TUM Graduate School at Technical University of Munich, Germany. The authors also acknowledge the financial support by the Federal Ministry of Education and Research of Germany in the framework of roVer (project number 13FH669IX6).

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Notes

  1. 1.

    https://www.jupedsim.org/; https://www.vadere.org/.

  2. 2.

    https://crownet.org.

  3. 3.

    https://github.com/roVer-HM/crownet/tree/pub_mobmod_unet22.

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Authors and Affiliations

  1. Munich University of Applied Sciences HM, Munich, Germany

    Lars Wischhof, Maximilian Kilian, Stefan Schuhbäck & Gerta Köster

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  1. Lars Wischhof
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  2. Maximilian Kilian
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  3. Stefan Schuhbäck
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  4. Gerta Köster
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Corresponding author

Correspondence to Lars Wischhof .

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Editors and Affiliations

  1. University of Quebec at Montreal, Montreal, QC, Canada

    Essaid Sabir

  2. University of Quebec at Montreal, Montreal, QC, Canada

    Halima Elbiaze

  3. Public University of Navarre, Pamplona, Spain

    Francisco Falcone

  4. University of Quebec at Montreal, Montreal, QC, Canada

    Wessam Ajib

  5. Hassan II University of Casablanca, Casablanca, Morocco

    Mohamed Sadik

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Wischhof, L., Kilian, M., Schuhbäck, S., Köster, G. (2023). On the Influence of Microscopic Mobility in Modelling Pedestrian Communication. In: Sabir, E., Elbiaze, H., Falcone, F., Ajib, W., Sadik, M. (eds) Ubiquitous Networking. UNet 2022. Lecture Notes in Computer Science, vol 13853. Springer, Cham. https://doi.org/10.1007/978-3-031-29419-8_1

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  • DOI: https://doi.org/10.1007/978-3-031-29419-8_1

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