In a world where cars are driving themselves, the lines, signs and other vehicles on the road take on a whole new significance.
On the latest episode of GIS Addressed, Minnesota’s chief geospatial information officer, Dan Ross, says all of those components that make up the road infrastructure play a role in how autonomous vehicles are integrated into the existing transportation ecosystem.
“Road data and transportation infrastructure are far more complex than one would think,” Ross says on the podcast. “Think about bridges, signals, signs, message boards, cable medians, guard rails, rest areas — just to name a few. They all play a role in how all sizes and shapes of vehicles can move through the system.”
With that many variables, standardization and consistency will be key, Ross says. One huge challenge, he said, are the various levels of government bureaucracy where that data is stored, and the different conflicting ways government might refer to places and things.
“Autonomous vehicles are all about a sense of place, and they need to know where those assets are, obviously, so they can avoid them as they travel,” Ross says. “A challenge when you think of road information is, at least in our state, that a road can have up to four different names. The number of attributes we need to describe a road’s condition itself is huge.”
Ross says his office has worked to develop standards to enable data sharing in the state government, which would lay a foundation for eventual data digestion by fully autonomous vehicles.
“We’ve built standards for making the data work better together and for data sharing. [We’re developing] common platforms that allow for better collection of data,” Ross says. “The technology and the tools are really helping us to overcome some of the challenges that we have with transportation data.”
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GIS Addressed is a podcast from StateScoop and the National States Geographic Information Council about the role of geographic information systems in government.
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