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# The Daily-Hourly Breakdown Method PowerPoint PPT Presentation

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.

The Daily-Hourly Breakdown Method

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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

.

.

.

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

### Busiest Busy Hour

• Identify in the DHB

• Largest entry within the valid cells

• “Worst Case” scenario

### DHB - Busiest Hour

Hour

Date

8am 9am 10am …

9/1

9/2

9/3

.

.

.

Largest Entry in the DHB

• Select “valid” days

• Average over these days for every hour

• Identify the “Average Busy Hour”

### DHB - Average Business Day

Hour

Date

8am 9am 10am …

9/1

9/2

9/3

.

.

.

Average for 9am

Average for 8am

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

• 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