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Understanding interarrival and interdeparture time statistics from interactions in queuing systems

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  • Helbing, Dirk
  • Treiber, Martin
  • Kesting, Arne

Abstract

We discuss the statistics of long queues, in which the interdeparture time statistics is dominated by spatial interactions among the elements in a queue rather than the arrival or exit processes. Based on a Fokker–Planck approach, it is possible to calculate the stationary distance distribution among the elements in a queue as a function of their interaction potential. The results relate to the ones known from Random Matrix Theory. Together with the velocity distribution, one can determine the time-gap distribution as well. This yields an analytical approach to the interdeparture and interarrival time distributions of queuing systems with spatially interacting elements. While these distributions are usually determined from empirical data or from theoretical assumptions about the arrival or exit process, we offer here an alternative interpretation of interdeparture time distributions as an effect of interactions in a queue. This is relevant for the understanding of traffic and production systems and for the optimization of the statistical behavior of some queuing systems.

Suggested Citation

  • Helbing, Dirk & Treiber, Martin & Kesting, Arne, 2006. "Understanding interarrival and interdeparture time statistics from interactions in queuing systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(1), pages 62-72.
    • Handle: RePEc:eee:phsmap:v:363:y:2006:i:1:p:62-72
    DOI: 10.1016/j.physa.2006.01.048
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    References listed on IDEAS

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    1. Nagatani, Takashi & Helbing, Dirk, 2004. "Stability analysis and stabilization strategies for linear supply chains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 335(3), pages 644-660.
    2. D.Helbing & S.Lämmer & T.Brenner & U.Witt, 2004. "Network-Induced Oscillatory Behavior in Material Flow Networks and Business Cycles," Papers on Economics and Evolution 2004-08, Philipps University Marburg, Department of Geography.
    3. Krbalek, Milan & Helbing, Dirk, 2004. "Determination of interaction potentials in freeway traffic from steady-state statistics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 333(C), pages 370-378.
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    Cited by:

    1. Tanaka, Masahiro & Yanagisawa, Daichi & Nishinari, Katsuhiro, 2018. "Exclusive queueing model including the choice of service windows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1481-1492.

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