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The Daily-Hourly Breakdown Method. COMT 429. A Tool. DHB: Daily-Hourly Breakdown Tabulate traffic by date and by hour for all data obtained Identify Patterns Determine time periods of interest Compute average profiles. DHB. Hour. Date. 8am 9am 10am …. 9/1 9/2 9/3.

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A tool
A Tool

  • DHB: Daily-Hourly Breakdown

  • Tabulate traffic by date and by hour for all data obtained

  • Identify Patterns

  • Determine time periods of interest

  • Compute average profiles


DHB

Hour

Date

8am 9am 10am …

9/1

9/2

9/3

.

.

.

Traffic (in Erlangs) found during that hour on that day.


Busiest busy hour
Busiest Busy Hour

  • Identify in the DHB

  • Largest entry within the valid cells

  • “Worst Case” scenario


Dhb busiest hour
DHB - Busiest Hour

Hour

Date

8am 9am 10am …

9/1

9/2

9/3

.

.

.

Largest Entry in the DHB


Average business day
Average Business Day

  • Select “valid” days

  • Average over these days for every hour

  • Identify the “Average Busy Hour”

  • Make adjustments to the average business day as needed


Dhb average business day
DHB - Average Business Day

Hour

Date

8am 9am 10am …

9/1

9/2

9/3

.

.

.

Average for 9am

Average for 8am


Average business day1
Average Business Day

Hour

8am 9am 10am …

Separate hours that seem to belong to a common time period, for example similar usage, or similar discounting periods.


Monthly traffic
Monthly Traffic

  • Average over the selected hours yields “Average Hour Traffic” in each of the separate time periods (e.g. day and evening)

  • Sum over all hours in a group yields the “Average Business Day Traffic” or “Average Evening Traffic”

  • Define the number of business days per month

  • Average Business Day Traffic * No. of Days is the estimated monthly daytime traffic, etc.

  • Adjust as needed for variations and growth


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