Potentials in the Field of Mobility by Mathematical Methods of AI

Anita Schöbel (), Henrike Stephani () and Michael Burger ()
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Anita Schöbel: TU Kaiserslautern
Henrike Stephani: TU Kaiserslautern
Michael Burger: TU Kaiserslautern

A chapter in Work and AI 2030, 2023, pp 229-237 from Springer

Abstract: Abstract AI can positively improve the future world of work by taking over repetitive tasks from human workers and showing new connections. This is made possible by intelligent algorithms, fast computing and large storage capacities. Using three examples from the field of mobility, we want to show how AI can enable more creativity and holistic decisions and achieve higher reliability.

Date: 2023
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DOI: 10.1007/978-3-658-40232-7_26

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