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From Drivers to Athletes: Modeling and Simulating Cross-Country Skiing Marathons

Abstract

Traffic flow of athletes in classic-style cross-country ski marathons, with the Swedish Vasaloppet as prominent example, represents a non-vehicular system of driven particles with many properties of vehicular traffic flow such as unidirectional movement, the existence of lanes, and, moreover, severe traffic jams. We propose a microscopic acceleration and track-changing model taking into account different fitness levels, gradients, and interactions between the athletes in all traffic situations. The model is calibrated on microscopic data of the Vasaloppet 2012. Using the multi-model open-source simulator MovSim.org, we simulate all 15,000 participants of the Vasaloppet during the first 10 km.

Keywords

  • Lane-changing Model
  • Acceleration Microscopy
  • Severe Traffic Jams
  • Maximum Mechanical Power
  • Mandatory Lane

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-319-10629-8_29
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References

  1. P. Ahmadi, Analysis of traffic patterns for large scale outdoor events a case study of vasaloppet ski event in sweden, Thesis, Royal Institute of Technology

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  2. M. Treiber, Crowd flow modeling of athletes in mass sports events – a macroscopic approach, in Traffic and Granular Flow ’13 ed. by M. Chraibi, M. Boltes, A. Schadschneider, A. Seyfried (Springer, Traffic Flow Dynamics: Data, Models and Simulation, 2014)

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  3. M. Treiber, A. Kesting, Traffic Flow Dynamics: Data, Models and Simulation (Springer, Berlin, 2013)

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  4. A. Kesting, R. Germ, M. Budden, M. Treiber, MovSim – multi-model open-source vehicular simulator. www.movsim.org

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Correspondence to Martin Treiber .

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© 2015 Springer International Publishing Switzerland

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Treiber, M., Germ, R., Kesting, A. (2015). From Drivers to Athletes: Modeling and Simulating Cross-Country Skiing Marathons. In: Chraibi, M., Boltes, M., Schadschneider, A., Seyfried, A. (eds) Traffic and Granular Flow '13. Springer, Cham. https://doi.org/10.1007/978-3-319-10629-8_29

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