Road data is not living up to its full potential. We know road data analysis can be used to reduce costs, emissions and injuries – but only if presented in a way that is useful and clear. Waywize products are road data tools that reduce costs, injuries and carbon emissions.
Fuelsave – Evaluate roads in terms of fuel and energy needed for transportation.
Vibrations – Evaluate street condition in terms of how it affects drivers and passengers.
Nordic Buildtech Day 2020
Waywize director Peter Ekdahl had the opportunity to present at the Nordic Buildtech day in September of 2020. See his presentation on how Waywize was used to detect an opportunity to save 1 billion Norwegian Kroner in fuel costs, and much more.
If you have ever walked up a staircase, you will know that transporting yourself upwards takes more energy. However, current route planning and road design software don’t account for this. Isn’t that crazy? We know road designers and route planners want to minimize fuel consumption. That is why we built Fuelsave.
Fuelsave Road Design is an intuitive dashboard that shows how energy, fuel and carbon can be reduced along new or existing roads.
Fuelsave Route Optimisation Data is an API that connects to your route optimization software to enable route planning with regard to hills, curves and road condition.
What do cyclists, bus passengers and truck drivers all have in common? They are all subject to road generated vibrations that affect comfort and can lead to injuries. In traditional road management the road is the centre of attention. We think this is ridiculous. Why? Because roads are built for people and therefore should be measured on how they affect people. Vibrations is Waywize’s tech-oriented initiative to make roads about people. We deliver cheap sensors and intuitive dashboards that let you see where bad roads affect people’s health and comfort the most. Enabling you to spend road money where it matters.
Mentions about Waywize in the media.
Tech Leader & Project Manager
Market experimentalist & Traffic Forecaster
Stine Skov Madsen
Data scientist & Modeling Specialist