Artificial intelligence as a co-driver

Matthias Klumpp Researchers at the University of Göttingen demonstrate advantages of human-machine teams for truck transportation The use of artificial intelligence (AI) is becoming more common in many branches of industry and online retailing. Traditional lines of work, such as transport logistics and driving, are developing in a similar direction although mainly out of public view. Scientists at the University of Göttingen have now investigated how efficient the use of AI can be in the commercial management of trucks. Their answer: the best option is an intelligent combination of human decision-making and AI applications. The study was published in the International Journal of Logistics Management . "As has happened in the private sector, digital applications - as well as machine learning, a kind of AI - are increasingly permeating operations and processes in the transport and logistics sector," explains Professor Matthias Klumpp from the Faculty of Economics. "The question in the commercial sector, however, is whether or not this contributes to achieving goals and efficiency in companies." To answer this question, the researchers compared the work efficiency of truck drivers in relation to their use of AI applications such as dynamic real-time navigation systems, cruise control and automated gear-shifting based on speed and topography and others.