RoadBounce Pro - Calibration Guide
Following guide will help you understand:
- How to change Good/Average/Poor threshold values for RQI (Riding quality index)
- How to convert RQI into IRI (International Roughness Index) or PCI scales
When the settings are set to 'Adaptive', The sensitivity levels get calculated automatically based on default vehicle vibrations. You can change the settings from Adaptive to Manual under Device Calibration
Device calibration settings also allow you to map RQI (Riding Quality Index) to any other index such as IRI (International Roughness Index), BI (Bump Index) or PCI (Pavement Condition Index)
Device calibration settings also allow you to map RQI (Riding Quality Index) to any other index such as IRI (International Roughness Index), BI (Bump Index) or PCI (Pavement Condition Index)
Setting Good/Average/Poor thresholds
Here, you have to set two threshold values.
Step 1:
First of all, do some test readings on various roads with your choice of vehicle and mobile phone, look at general pattern of the Index numbers in PDF reports.
Find an Index number from reports, which is upper threshold on Good road. Let’s call this ‘Good Index’
Find an Index number, which is upper threshold on Average road. Let’s call this ‘Average Index’
Step 2:
Go to RoadBounce settings page, de-activate ‘Adaptive’
Click on the ‘+’ sign to add a new setting
Vehicle name and model: Name of the vehicle you just studied (e.g. Toyota Corolla)
Mobile name and model: Name of the mobile phone just you studied (e.g. Motorola X Force)
Good Index: Enter the identified 'Good Index' here
Average Index: Enter the identified 'Average Index' here
These values may differ significantly by the Vehicle model you are using, so you need to save these mappings with Vehicle name
End result:
RoadBounce will now generate reports as per your set thresholds.
For example, if the Good-Index is set to 100 and Average-Index is 200, then
RQI from 0 to 100 will be shown as Good
RQI from 101 to 200 will be shown as Average
RQI 200+ (max value is 1500) will be shown as Poor
- One indicating the max number for ‘Good’ category,
- second indicating Max number for ‘Average’ category.
Step 1:
First of all, do some test readings on various roads with your choice of vehicle and mobile phone, look at general pattern of the Index numbers in PDF reports.
Find an Index number from reports, which is upper threshold on Good road. Let’s call this ‘Good Index’
Find an Index number, which is upper threshold on Average road. Let’s call this ‘Average Index’
Step 2:
Go to RoadBounce settings page, de-activate ‘Adaptive’
Click on the ‘+’ sign to add a new setting
Vehicle name and model: Name of the vehicle you just studied (e.g. Toyota Corolla)
Mobile name and model: Name of the mobile phone just you studied (e.g. Motorola X Force)
Good Index: Enter the identified 'Good Index' here
Average Index: Enter the identified 'Average Index' here
These values may differ significantly by the Vehicle model you are using, so you need to save these mappings with Vehicle name
End result:
RoadBounce will now generate reports as per your set thresholds.
For example, if the Good-Index is set to 100 and Average-Index is 200, then
RQI from 0 to 100 will be shown as Good
RQI from 101 to 200 will be shown as Average
RQI 200+ (max value is 1500) will be shown as Poor
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Please note:
The riding quality may also differ slightly based on tire pressure of your vehicle and the speed you are testing with. So it is highly recommended that the tire pressure is checked regularly, set to standard values as per car manufacturer, and a specific speed range is always followed which will allow capturing small details (e.g. 10 to 40 mph or 30 to 60 kmph)
The riding quality may also differ slightly based on tire pressure of your vehicle and the speed you are testing with. So it is highly recommended that the tire pressure is checked regularly, set to standard values as per car manufacturer, and a specific speed range is always followed which will allow capturing small details (e.g. 10 to 40 mph or 30 to 60 kmph)
Mapping to IRI or any other scale
Here, we need to create a mapping table between RQI and the new scale you are trying to build (lets call it Target scale)
To set the mapping values, you need to know expected values on target scale for given RQI values. For instance, you can find out IRI of any given stretch of a road using any of existing methods (or make a educated guess), and run RoadBounce on the same to get RQI numbers for the same road section.
In the mapping table, you need to set pairs of RQI and expected target scale values. Atleast 3 values are required, and values is required for 0.00 (minimum) and 1500 (max) RQI
The more values you can map, better the results are
- Set calibration settings to Manual by disabling 'Adaptive' button
- Set Mapping table to editable by enabling 'Mapping Table' button on the same screen
To set the mapping values, you need to know expected values on target scale for given RQI values. For instance, you can find out IRI of any given stretch of a road using any of existing methods (or make a educated guess), and run RoadBounce on the same to get RQI numbers for the same road section.
In the mapping table, you need to set pairs of RQI and expected target scale values. Atleast 3 values are required, and values is required for 0.00 (minimum) and 1500 (max) RQI
The more values you can map, better the results are
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Example:
I have taken RoadBounce report on a section of road and my RQI readings are 121, 132, 154, 109
Now, if my expected IRI for this road was 1.1, 1.2, 1.4, 0.9, I should map these values to the respective RQI values in the mapping table
Similarly, I may decide to get my report on scale of 1 to 10, then I can map respective values from 1-10 scale to the RQI values
Note:
When you map RQI to new scale, you will also need to update Good/Average/Poor thresholds
I have taken RoadBounce report on a section of road and my RQI readings are 121, 132, 154, 109
Now, if my expected IRI for this road was 1.1, 1.2, 1.4, 0.9, I should map these values to the respective RQI values in the mapping table
Similarly, I may decide to get my report on scale of 1 to 10, then I can map respective values from 1-10 scale to the RQI values
Note:
When you map RQI to new scale, you will also need to update Good/Average/Poor thresholds