Moscow’s Smart Driving Laboratory has announced an automated system for updating the connected car cartographic resources of its smart driving platform.
The maps will be updated on a weekly basis, primarily where customers’ vehicles are operating, taking into account individual requests and tasks. The new update mode is available for mapping coverage of Russia, Kazakhstan, Belarus and Brazil.
Connected transport
For the system operation, the laboratory reports a live update model has been created, in which data from hundreds of sources on changes in the road network such as speed limits, traffic signs, address database and infrastructure objects are linked to the real movement of connected transport.
Most often, users of the platform report new objects, changes in markings, new speed limits, closures or the appearance of new side roads. But there are also specific tasks for local changes in remote areas and on construction sites, where the lab will incorporate important objects, infrastructure and landscape elements on request.
Each request is checked and, if confirmed, is entered into the mapping apps of the platform within a week and made available to all users.
“Most connected car platforms in the world use third-party cartographic services. We rely on our own cartography, since the built-in block of someone else’s service does not allow us to solve specific problems of transport telematics and excludes individualisation based on direct and indirect feedback from customers,” said Elena Dudko, head of cartography at the Smart Driving Laboratory.
“In addition, we use our own cartography as the basis for creating geoinformation databases that allow our customers and partners to receive additional benefits.”
According to the lab, a key element of updating is the processing of direct feedback such as requests for certain changes or clarifications received from private and corporate users of the smart driving platform. The lab claims on-demand updates allow customers to receive the local changes they are interested in within a four- to five week timeframe.
In addition, updating data on road signs, markings, terrain, contours of the road network, real routes and transport speeds, as well as the condition of the roadway are superimposed on the geoinformation database of accidents.
This allows the lab to constantly improve the algorithms for scoring safe driving, which impacts cost of insurance and to assess driving standards of professional drivers.
(Except for the headline, this story has not been edited by The Technology Express staff and is published from a syndicated fee)
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