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Using Smart Mobility to Improve Cross Border Commute

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Published on Friday, 11 January 2019

With some 45% of Luxembourg’s workforce coming from Belgium, France and Germany, the transport network in and out of the country is a vital part of the Greater Region’s infrastructure. And with the number of cross-border commuters increasing by over 4% each year the network is under ever greater strain.

In an effort to alleviate this strain, researchers at SnT will collaborate with 15 research, transport and government organisations in France Germany and Luxembourg to explore the potential offered by automation and smart mobility to improve circulation.

Dr. Raphaël Frank will lead the work at SnT, working with commuter shuttle provider Kussbus to equip a vehicle with state of the art sensors. The bus, which will follow various routes between Luxembourg and cross border cities, will collect data which will then be used to train the artificial intelligence systems needed for an autonomous bus. For the last year SnT researchers have been developing these technologies within the Centre’s 360Lab, home to Luxembourg’s first fully autonomous car.

“The ultimate aim is to enable Mobility on Demand services with autonomous shared vehicles,” says Frank. “The ability to purchase mobility in real time using your smartphone, using public transport to get from your door to your destination without the hassle of vehicle ownership, will make Mobility on Demand very attractive. Crucially for the cross border commute, the result will be fewer vehicles on the road, and they will be safer and more economical.”

The 360Lab Team

The research is part of the TERMNAL project, a three-year, three million euro initiative funded by The INTERREG V A Greater Region Program, which aims to strengthen economic, social and territorial cohesion. Other projects under the TERMINAL umbrella will involve testing an automated electric shuttle bus between Creutzwald in the Moselle and Überherrn, Saarland, and surveying public attitudes towards automated transport.