Artificial Intelligence: this is no longer just a buzz word. AI is about to change our everyday life – including our mobility.
So how exactly is AI going to change the way people travel?
How does the specific use of AI in mobility look in this context?
And what are the biggest challenges?
These and other topics were discussed at the DLD Panel in Munich. Three visionaries and executives from entirely different companies provided their expertise and prospective on the subject of integrated mobility, smart cities and connected data analysis:
Hint: To watch the video of the panel, scroll below!
In the near future, any kind of transportation will be re-defined by digital platforms and will no longer exist as a separate part of the public infrastructure. Instead, there will be connected traveling and mobility concepts, offering users seamless, individualized services across different platforms. “Data will be the key driver for this development,” Markus Braun, CEO of Wirecard, said.
“Wirecard already got insights and experience in using Artificial Intelligence in its risk management systems,” he explained. “Within the last few years, we were using data analysis to build a digital ecosystem and provide our customers with connected value-added-services. Since traveling is one of our core industries, we will soon be able to create an integrated, cross-channel-connected mobility platform using individualized data to target travelers’ needs in real-time.” Thus, Wirecard will become the provider of a digital platform where the entire processes from transport tracking, car leasing or registering to pay are integrated.
For intelligent transport and connected mobility solutions in the near future, data analysis and AI will play a crucial role
This is how AI will enable people to reduce their travel or commuting plans to specify the “start” and “end” of a destination, leaving the remaining guidance to become completely automatic. To make this possible, not only big business players have to change their strategic thinking on AI, but also the whole urban infrastructure needs to be digitalized.Also for ÖBB, the daily use of Artifical Intelligence has become an integral part in most diverse areas, Valerie Hackl stated: “For example, AI helps us a lot with predicted maintance of our railway infrastructure. It gives us very important insights and help engineers and managers alike to make better decisions.” And not least, AI is the base of “Wegfinder”, an intelligent app for smartphones that ÖBB has developed with several partners. It not only involves different means of transport for route planning, even via chat with a bot, but Austrian users can also buy tickets with it, retrieve environment information and be informed in real time in the case of delays, Valerie Hackl explained.
Over the next few years, local city authorities will be taking action in order to transform every megapolis into a Smart City. There, all the transportation platforms, including traffic lights or signals will be digitally coordinated and linked up. This digital urban concept will be based on AI technology tracking human mobility patterns. Smart Cities will allow the inhabitants of big cities to move efficiently and safely, spending as little time as possible being stuck in the traffic.
The future of Intelligent Mobility is not as far away as it might seem to be. Georg Polzer, co-Founder & chairman of Teralytics, commented: “Data needs to play a much bigger role in shaping the future of mobility.” Teralytics’ business model is to anonymously collect cell phone data from over 400 million people worldwide in order to deliver valuable information about location, mobility, demographics and online behavior.
Wirecard’s Markus Braun entirely agreed with him and emphasized: “We have to provide our consumers with an alternative vision on AI because in 99% of all cases we are dealing with aggregated, anonymous data in order to find out what is the best and safest way for people to travel.”
To conclude, digitalization and AI will strongly shape the future of mobility, giving people greater travelling efficiency and enhancing public safety.