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Niklas holds an MSc Eng. in Intelligent Systems with a focus on logic, algorithms and artificial intelligence. He is now pursuing his Industrial Ph.D. at the Machine Learning for Smart Mobility research group at the Technical University of Denmark. He has worked intensively with business intelligence and data analysis at Movia Public Transport for 6 years.

Sessions

  • June 11: Artificial intelligence and smart technology in public transport

    Real-time bus arrival forecasts using AI and Machine Learning

    Real-time predictions of arrivals and travel time are necessary for offering a mordern and attractive public transport. An innovative approach with methods from AI and Machine learning has been developed. Using the spatial structure of the bus network this approach allows capturing patterns both in time and space. The proposed model is scalable and produces multi-step predictions for the next couple of hours.
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