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MapFan DB Road Map Database

Road gradient data

Road gradient data is data that quantitatively assigns longitudinal gradient values to road links throughout Japan.
Based on elevation data and gradient logs from driving surveys, it enables the extraction of steep sections and the visualization of smooth gradient changes. It ensures consistent accuracy and density from urban areas to mountainous regions.
This data can be used in a variety of use cases, addressing both safety and efficiency, such as integrating it into navigation apps that warn users of steep gradients, or utilizing it in fuel efficiency simulations for logistics routes.

Data Details

The gradient, direction, and reliability of the slope are all meticulously recorded.

The gradient, direction, and reliability of the slope are all meticulously recorded.

  • The gradient (%) can be calculated from the elevation difference along the direction of travel, allowing you to understand the road's slope in the longitudinal direction.
  • The gradient is expressed in 0.1% increments and calculated by combining driving survey data and DEM (Digital Elevation Model).
  • Materials are classified according to their reliability, such as high-precision materials, running materials, and complementary materials, which improves the accuracy of the analysis.
Monthly updates keep nationwide slope information always up-to-date.

Monthly updates keep nationwide slope information always up-to-date.

  • With 12 regular updates per year, we can quickly respond to changes such as newly constructed roads, elevation revisions, and material replacements.
    *This is optional data to be used in conjunction with the "Road Network Data".

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Expected usage

  • In navigation systems, this can be used to provide route guidance that takes road gradients into account, resulting in less driving strain.

  • It can be used in logistics companies' dispatch planning to optimize fuel-efficient routes.

  • This can be used by electric vehicle manufacturers to estimate battery consumption in their range simulations.

  • This can be used in elderly and pedestrian assistance apps to design routes that suggest roads with gentle slopes.

  • This can be used in developing transportation strategies for energy efficiency and emission reduction in smart city mobility initiatives.

FAQ

How often is this data updated?

We conduct regular updates 12 times a year, and we respond promptly to changes in slope due to changes in road shape, new road openings, and structural renovations.

How does the steep gradient warning function work?

The road gradient data includes a longitudinal gradient value (%) for each road link. Based on this value, the system can set a warning threshold (e.g., 8% or more), allowing it to issue warnings for sections determined to have a steep gradient.

How can this data be used to calculate fuel-efficient routes?

By utilizing road gradient data, it becomes possible to propose fuel-efficient routes that take into account increased energy consumption on uphill slopes and the use of regenerative braking on downhill slopes.
This is expected to reduce fuel costs and CO₂ emissions in logistics operations and company vehicle management.

How is gradient data useful in estimating EV driving range?

The power consumption of an EV vehicle is greatly affected by the gradient of the road. Uphill driving increases the battery load, while downhill driving allows for energy recovery through regenerative charging.
By incorporating road gradient data for each route, it becomes possible to perform more realistic energy consumption calculations and precise range simulations, which is also useful for optimizing charging point strategies and routes during driving.

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