Collapse Help
AP Detail Per Vehicle Archive Generation
AP Detail gives per vehicle statistics. When sensors are installed in pairs,
APDetail provides a time stamp, lane, speed, length, and intervehicle-time.
Returns files types are Excel, CSV, and Html.
Access Point ID and Time Zone
Using the pull down menu, select the Access Point of interest. Each Access Point
has a unique ID, and a short description about the installation location.
The time zone will be automatically set
Start Time / End Time and Duration
The Start Time is required, and the Duration takes precedence over the End Time.
If any field in the End Time is left unset, the application will use the Start Time
and Duration as the time indices.
File Type
The three currently available file types are: Excel Spreadsheet, Comma Separated Values File,
and Html. A user may select different file types after the initial
processing as well.
Advanced Options
Speed Edge
This option allows the user to choose what data is used for speed calculation.
Leading edge, trailing edge, or an average of leading and trailing edges can be choosen for
speed calculations.
Adaptive Holdover
Using the entered length in feet, adaptive holdover calculates the amount of time the
count/speed/occupancy algorithms need to holdover based on the average of the last 5 speeds calculated.
Normally holdover is a time value, but adaptive holdover is a length. Time is derived from the length,
using the average speed. By default, Adaptive holdover is 10 feet.
Reporting Filter
On - Report only vehicles that have calculable speeds and lengths. Off - Report all vehicles
regardless of available speed or length.
Valid Threshold
This value is used for filtering bad speed calculations that result from vehicle
lane changes. It sets the allowable deviation between the length calculations of the 2 sensors in a
speed pair. If the lengths deviate more than this percentage, the speed is dropped.
Clock Offset
Is the number of seconds, plus or minus, that the event times will be moved before
being processed. For example, if set to 300, an event at 12am would be interpreted as an event at 12:05am.