AI and machine learning can make huge difference, says Siemens

Artificial intelligence (AI) is already making significant differences in day-to-day transportation management operations across the US, according to emerging technology experts at the recent virtual ITS World Congress. The panellists, brought together by Siemens Mobility’s ITS Digital Lab in Austin, Texas, encouraged transportation departments and public agencies to investigate ways AI and machine learning can make operations more efficient or help them develop and implement actionable decisions in real time.
November 18, 2020
Siemens ITSWC2

 

“Investing in solutions that save time, generate efficiencies and keep people safe is particularly wise during today’s pandemic and economic uncertainty,” said Laryssa Parker, VP and head of the ITS Digital Lab. “AI and machine learning can be used to automate manual operations, for example, making this work more efficient and allowing staff members to use their expertise for higher-level activities. AI also helps DOTs and agencies go beyond detecting and managing incidents to predicting and preventing crashes,” she commented.

AI allows projects to be done on a larger scale, too. Instead of focusing on just one corridor, for example, DOTs and agencies can now look at the entire region to understand the conditions that are causing accidents. Today’s access to large amounts of data along with the capabilities to process it, make meaningful calculations, and then take action from the data, weren’t possible just a few years ago. Now, thanks to AI, transportation managers are seeing great results.

Other key topics covered by the panellists included safety and mobility; cybersecurity; collaboration inside and outside DOTs and agencies; and using AI to understand and leverage existing infrastructure.

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