Very generally said, a software solution to work with data from motorbikes on racetracks. Targets the needs of amateur and professional riders. Data from different logger manufacturers can be imported. Your benefits are:
Improve your lap times
Have fun when working with data
Be future-proof and flexible
The massive number of features can be grouped into three areas:
While importing data, multiple information can be assigned. Special setups, behavior tests and learnings can be documented in comment fields. By using this feature, you will always be aware of the specific situation.
Complete analysis situations can be saved as snapshots with comments. Restore is possible by just a mouse click.
The values of channels for one or more laps will be shown in channel plots. 5 Plots can be configured and managed by plot templates.
Of course, the driven lines on the track are shown. The unrivaled GPS error correction algorithm results in unseen precise position visualizations.
During data import, the data are automatically analyzed. RidingData determines characteristic values like maximum GPS speed, suspension average values, ideal lap times, sections times and so on.
Innovative and intuitive usable tools and views assist you when searching for ways to reach better lap times.
The base approach of RidingData is to compare multiple laps, based on the GPS position. In our experience, this is the most reliable way to perform meaningful comparisons. No longer, apples and pies will be compared.
In the very early development phase, the focus was set on two elementary core concepts to reach the position-based comparison power. And we succeeded. Verified on a massive amount of data, we can proudly say, it works like a charm. Following, please find brief information regarding the two unique core features.
The advanced GPS improvement method analyses and corrects position data from the logger. It delivers impressive precise drawings of the driven line on the track and is the base for the position synchronization.
Resampling data to values at the same position is the task for the "Synchronization Engine" and therefore represents the elementary core function of RidingData.
The graphic above shows the relation between the position on the track and the vertical cursor in the channel plots.
The possibilities which can be realized through this synchronization technique are game changing in race data comparisons.
RidingData is specialized regarding calculation and visualization of time differences when comparing multiple laps. The unique core methods allow showing the effect on time (time gaining, loosing) over the whole track.
The very base of systematic improvements in motor sports is to know, on which areas / topics the focus has to be set. This can be accomplished with a view mouse clicks when using RidingData. Innovative tools help you in the next step to find the root cause for the time differences.
After defining a new strategy and trying to implement it on the next ride, RidingData helps you to double-check the effect of your changes (setup, riding a different line,...).
The extended introduction video leads step by step through the workflow, using a real-world example. The following slides show some screenshots of topics, which help you to improve your lap time.
When two or more laps are selected, the plot "Diff Time" shows the development over the whole track.
The most important areas can be seen at first glance. There, the focus of improvement has to be set.
Marker measurements show information for the specific area between the movable markers.
The cursor position in the channel plots is always drawn as a line across the track. This works in both directions. If the mouse is placed or moved in the track plot, the cursor in the channel plots always show the data at this track position.
The "Lap Selection" panel includes all imported data sets regarding the current track. Events are created automatically. By using the checkboxes you can set, which laps shall be shown in the plots.
The content of the rows can be configured. In the shown screenshot, maximum GPS speed (green colored) and suspension average data (blue colored) are activated.
The comparison with data from a fast rider delivers important ideas of the potentials. It doesn't matter whether it is caused by the driven line or something else, the analysis tools will bring it out to you.
For many tracks, RidingData supplies you with so called 'Benchmark' data, which are laps from a very fast rider. Usually from the national Superbike championship.
While importing data, each dataset is automatically analyzed regarding sections times. A table visualizes, in which laps the best section times could be performed.
By adding the best section times, the ideal lap time is calculated. Everyone knows, sometimes a slower rider damages your excellent lap time. With RidingData you know how fast it could have been.
In the lap selection panel, the ideal lap can be found for each data set. This can, as any other regular lap, be used by the checkbox for comparisons.
The ideal lap is the sequence of the best sections in the data set.
You need a GPS based logger from one of the manufacturers Starlane, AIM, I2M, 2D, Motec or CrossBox. More manufacturers will follow.
A data connection to the bike (CAN) is not necessary, but might be an advantage when looking for root causes.
The RidingData DNA is based on GPS position. If the GPS quality of your logger is not sufficient, we will support you in that topic as good as possible.
Your laptop or desktop computer must run on Windows 10 or 11. A laptop is an advantage to take it with to the track.
Full-HD monitor resolution would be good, and calculation power is an advantage too.
Best download RidingData and start the test phase to check, if everything works fine on your system.
When choosing the systematic way to improve your lap time, you must invest some time to get familiar with the environment.
Training videos, the help system and our support will help you to learn RidingData.
When installing and starting RidingData the first time on a computer, a 21 days evaluation phase is initiated automatically. During this phase, full functionality can be tested. Only two restrictions are given:
Maximum of 5 own riders can be defined
For each track, a maximum of 10 data sets can be imported
At first start, you can decide, if demo data shall be implemented. These are some data sets for the track "HockenheimGP". If you have not own data, this possibility lets you test the software with the demo data.
Generally, you can test, if RidingData fulfills your expectations and if your hardware (logger, computer) meets the requirements.
When the evaluation phase ends, the license level changes over to a "No License" state. This means, no further rider can be added and not further imports can be done. But already existing data can still be analyzed.
Following you find the recommended way to start improving your lap times with RidingData:
Download and install the latest version of RidingData from the website. When first time starting the software, a 21-day test phase starts automatically.
The training videos on this website are created to show you the most important elements and principles. Take the time to watch one of the introduction videos. When done, you will be perfectly prepared for RidingData.
Creating a new rider including portrait and side image is a good start with RidingData. When done, you are ready for your fist import.
If you have already logged data with a GPS logger, it is time to import some data sets into RidingData. If not, you can use the demo data which come along with the installation package.
Finally, dive into the analysis world of RidingData. Enjoy the environment and get a first impression of the powerful possibilities to find your potentials and fasten lap times.