
70 CHAPTER 6 DATA PAGE
Validation – Used to determine if data holes exist in the Collector database (see Figure
6.4). It uses a simple calculation (number of lanes times the number of sensor inter-
vals divided by the selected time range) to determine the number of expected entries,
and then compares that to the actual number of entries found in the database. If the
selected time period is longer than one day, the validation report will list each day as
a sub-report with individual breakdowns of expected versus actual data intervals for
each day.
e validation report is very useful, but there are a few things that can cause it to be
inaccurate. For example, selecting an invalid time range (such as a future time) will
cause the expected number of entries to include times that cannot exist in the database.
Changes to a sensor’s interval or lane conguration that occurred during the selected
time range will also cause the calculation to be incorrect. Other problem sources may
include entries that simply don’t exist on a sensor due to a power failure, time sync (see
Timer Settings section) or communication problems.
To use this report eectively, set up a daily or weekly automatic export that sends the
report via email to interested users who can then determine if action needs to be taken
to correct the source of the missing data.
Figure 6.4 – Data Validation Report
Daily Peak – Presents data by sensor/approach for a dened amount of days (see Fig-
ure 6.5). is data includes the total volume, average speed and average occupancy
along with the classication information for the entire day. e report also includes the
a.m./p.m. peak hour and the specic data points for each peak hour.
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