Alchemy : the power to change or create things in a way which seems mysterious and magical.
RDE trips at your finger tips.
Given a start point selected by the user, OSERoad relies on a unique technology
to generate a collection of RDE-compatible routes.
Once generated, the RDE trips can easily be exported
as speed and elevation profiles into world-class leader simulation suite or even custom simulation tools.
For on-road testing, itineraries can also be exported directly to a GPS using the popular *.gpx file format.
The performance encapsulated in a scalable cloud based platform allows our partners to use a single tool accross their different teams. This guarantees a seamless transition from simulation to real world validation, allowing to continuously yet efficiently fine-tune the decisions at every step of the development process. Car manufacturers who use OSEroad hit their real driving pollutant emissions targets more rapidly and efficiently.
Real Driving Emissions : The New Order.
In 2017, Europe became the first region in the world to introduce a new set of regulations
truly able to revolutionize the way light duty vehicles are tested and designed.
This follows years of critisms toward the previous protocol, namely the
NEDC, introduced in the 1980s.
By combining the so-called WLTP
driving cycles together with the introduction of the RDE
framework it fundamentally changed the pollutant and fuel comsumption approvals of light duty vehicles.
This regulatory revision brings drastic technical, economical and strategic changes in the automotive world, aimed at achieving a dual objective:
During a RDE test, an operator drives the vehicle on public roads while dedicated Portable Emission Measuring Systems, also known as PEMS, monitor in real time the key pollutants levels such as NOx. A legislative set of boundary conditions defines whether or not the trip is RDE compatible, depending on the operating conditions explored. In fact, for 90 to 120 minutes, the latter must explores an exhaustive range of driving situations including:
The fact that violating any of the mandated RDE criteria will result in a void test puts a great emphasis on determining a route that bears the right characteristics. In practise, as each iteration of the test takes a substantial amount of time, engineers wants to minimise the uncertainty that unforeseen events such as traffic or road construction lead to not meeting the RDE requirements. Another additional constraint is that prototype vehicle testing is often conducted away from the car manufacturers technical centers. This generates a continuous need for determing new routes in new locations, that maximises the chances to meet RDE compatibility requirements. OSERoad was created to meet this demand. As a product, it emerged from working closely with car manufacturers engineering teams in the early stages of the RDE framework introduction. Since then, we have pushed the boundaries even further in order for more people to benefit from this technology.
The first online real RDE cycles generator.
We wanted to empower our users wherever they are testing on the planet so we designed OSERoad as an online tool with simplicity, performance and usability in mind.
The website provides a familiar Google Maps-like user experience for interactive map exploration: zoom in/out/pan and a simple click allows the user to choose the start point of his next RDE trips. Once the user has selected a start point on the map, our virtual driver algorithm explores all the routes in the region in a systematic yet incredibly efficient manner. At the end of the analysis, the user gets access to a collection of the most likely RDE-compliant trips from his start point. They can easily be exported either:
Select your starting point
directly on the map.
Start the calculation
with just one click.
Get a collection of RDE-routes around your starting point.
It was obvious that to reach this level of performance and design a product that would truly add value to the RDE stakeholders accross the automotive industry,
we needed to liaise with as many experts as possible to enhance our comprehension of the regulation as well as understand their true need.
It was not an easy task to gather so many people around the table in the early stage of the RDE framework definition but
designing the unique technology that powers OSERoad, side by side with the leading experts in the fields, made a genuine difference.
Today, OSERoad allows our partners to use a single tool throughout their development process and guarantees a seamless transition from simulation to real world validation. By allowing to fine-tune the development and validation process at every step so easily, it helps already several car manufacturers outpace their competitors by hitting their real driving pollutant emissions targets more rapidly and efficiently.
Need to find RDE routes around you?
Simply press Start.
Monitor the progress of your calculations.
They all happen in the Cloud.
Export your collection of RDE-trips to feed your simulation.
Download to your GPS for on-road testing.
Discover the benefits of a Cloud service.
Get more tools to analyse the routes you found.
Turning innovative ideas into success stories.
We use sensor data analytics to avoid costly equipment failure and improve operational efficiency.
Getting business insights from historical performance data has became a wonderful vector of
growth for many companies.
New technologies such as machine learning, artificial intelligence and big data show promising
results in the field of predictive maintenance.
However in practise, they often fail to capture nuances that are obvious for human.
Liaising with the technical teams in the field, our approach is to combine advanced data science techniques together with domain experts knowledge in order to reliably extract those characteristic patterns. Empowering people with our condition monitoring algorithms enables them to forecast equipment failures before they occur. This helps our partners save time and money in their daily operations.
We blend in an incredibly intuitive user interface, the most advanced optimization algorithms.
Within an organization, system-level model design and calibration requires a know-how that is
often in the hand of a very small team.
As the need for simulation spread within those companies,
they often end up spending more time maintaining their current library
rather than developing new ideas.
We designed a new development workflow where each model is associated with a dedicated semi-automated calibration routine. First, thanks to a versatile user interface, experts build an easy-to-share model. They also define a matching calibration process by combining elementary optimisation stages. The model is then shared as a single package that allows the end user to calibrate and run the model seamlessly. A dedicated simplified user interface ensures that this can be achieved without prior simulation or optimization knowledge, thus participating in promoting the use of simulation throughout the company.
We empowered engineers with a tailored software allowing them to become more agile.
The automotive industry faces a unique challenge whereby the requirement for technological
is dictated not only by a fierce competition but also by an ever more stringent set of
Working closely with a car manufacturer engineering department, we developed a tailored tool suite to predict the performance of their upcoming powertrains. By integrating the brand process and methods and the engineers know-how directly in our software, we enabled them to estimate the pollutant emissions level earlier than ever in their development workflow. Engineers can now easily narrow down the most critical operating conditions where to focus their efforts. This eventually reduces the time and cost required to converge toward a viable solution. This project became a partnership towards continuously minimizing the requirements for test bench trials while maintaining the same level of predictability.
We use digital twins to help operators take the right decision.
In many industries, data intelligence has became a major vector of growth in the past few years.
By working closely with engineers and technicians on site and sharing the know-how we acquired
in the field of engineering digitalization,
we help our partners aggregate large amount of historical and live data to generate valuable
Using the data of sensors already available, together with some of the advances we brought in other industries, we were able to combine the benefits of physics-based and statistical simulation models into advanced digital twins. Those are live tuned using the latest data available and used to provide live advice based on accurate predictions. In order to provide support to the commercial teams, we developed a fully functional offline version of the tool that demonstrates the potential benefits and helps get new custmers on board. Combining data fusion algorithms with a model predictive control approach, we help companies improve their operational efficiency.
We want to bridge the gap between simulation and embedded software.
Engineers in the automotive industry have to cope with the growing complexity of systems
and software due to the introduction of advanced functionalities towards minimizing real driving
(e.g. hybrid powertrains, electrification), optimal operation strategies and/or automated
In the EMPHYSIS project (EMbedded systems with PHYSical models In the production code Software), we embbed physics-based models into the ECU's control and diagnosis functions. With that approach and our partners, we aim to trigger genuine enhancements in automotive vehicle performances within the project life cycle. This is a critical milestone towards reducing the development cost and time of embedded systems software but also contributes to enhance the overall performance of the production code in automotive vehicles. Learn more
We are active on several research projects through the development of leading edge numerical algorithms.
It is important for us to invest time in technologies which strive for positive social impacts.
Since 2015 we work in partnership with the French laboratory CNRS-PROMES at the Themis solar
on concentrated solar irradiation. This technology is one of the most promising value-creation
opportunities in desert areas.
Thanks to advances in data and image analysis, we helped the researchers get a better understanding of the solar flux concentration phenomenon so that they can obtain a live and accurate image of the solar flux received. In particular this led to the development and publication of an innovative approach to quantify the distribution of concentrated solar irradiation. Using this new measurement technique allows to develop more efficient control strategies, a significant leap towards making it a viable renewable energy production aternative. Learn more