• Statistical Analysis Of The Queuing System In A Bus Terminal
    [A CASE STUDY OF NEKEDE BUS TERMINAL]

  • CHAPTER ONE -- [Total Page(s) 5]

    Page 5 of 5

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    • are selected from queue for service.
      Jockeying: Is when a customer leaves one queue to
      another is hope of reducing waiting time.
      Reneging: When the customer leaves the queue because
      He/she has waited too long.
      Balking:     Occurs when customer do not enter waiting line but decides to come back later.
      N     =     Number of customers in the system (in queue plus
      in service
      ln       =     Arrival rate given n customers in the system.
      mn       =     Departure rate given n customers in the system
      Pn    =     Steady state probability of n customers in the
      System
      Ls        =     Expected number of customers in system. (Length
      of service)
      Lq    =     Expected number of customers in queue. (Length of
      queue)          
      Ws   =     Expected waiting time in the system
      Of queue)
      Wq   =     Expected waiting time in queue
      C     =     Expected number of busy servers
      Traffic intensity: This is the proportion of the average arrival rate to the average service rate. It indicates the extent and propensity of queuing. It is calculated thus:
             Traffic intensity =   mean arrival rate per unit time
                                        Mean service rate per unit time
      A simple mathematical presentation for the traffic intensity
      Traffic Intensity
                                        Ti <1: SR faster than AR
                                        Ti =1: SR equals AR
                                        Ti>1: SR Slower than AR
      Where AR and SR are arrival rate and service rate respectively.
  • CHAPTER ONE -- [Total Page(s) 5]

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    • ABSRACT - [ Total Page(s): 1 ]The need to reduce the length of queue (waiting time) forms the basis of this research. This project work centers on the queuing system witnessed at the Nekede bus terminal; and a single serve queuing system was adopted in the analysis. The basic aim and objectives of this research is to identify the distribution of the arrival and service and finding out if increasing the number services (terminal) would tend to reduce the waiting time in the system. Different probability distribution where use ... Continue reading---