Queueing Forecasting

Queueing Forecasting is a predictive modeling framework within capacity forecasting that estimates future queue dynamics—such as waiting times, queue lengths, and service delays—by analyzing historical and real-time stochastic arrival and service patterns in queuing systems.

44

Publications

1.7K

Citations

122

Authors

57

Institutions

Publications per year

2017–2026

12

Authors

122

  1. MH
    Margaret Hamilton

    RMIT University, Australia

    3 publications · 55 citations

    3

    h-index

  2. FD
    Flora D. Salim

    RMIT University, Australia

    3 publications · 55 citations

    3

    h-index

  3. MS
    Mohammad Saiedur Rahaman

    RMIT University, Australia

    3 publications · 55 citations

    3

    h-index

  4. WW
    Ward Whitt

    AT&T (United States), United States

    2 publications · 170 citations

    2

    h-index

  5. RI
    R.N. Ibrahim

    Monash University, Australia

    1 publications · 89 citations

    1

    h-index

1–5 of 122

Venues

  1. IEEE Access

    3 publications · 97 citations

    3

    h-index

  2. Operations Research

    2 publications · 100 citations

    2

    h-index

  3. European Journal of Operational Research

    1 publications · 49 citations

    1

    h-index

  4. Forecasting

    1 publications · 17 citations

    1

    h-index

  5. 1

    h-index

1–5