Group 4Fill 1Fill 1Page 1inGroup 11outlookpaperPDFStarFill 1Group 6zipfacebookinstagramlinkedinsocial/twitter@2xCombined ShapeCombined ShapeCombined ShapelunchCombined ShapeCombined ShapeCombined ShapeFill 1Artboardarrowicons/closeFill 1 Copy 2burgerArtboard

Xiaodong Liu is currently a research associate and research group lead at TUMCREATE. He is also pursuing his doctorate degree from the Technical University of Munich (TUM) under the supervision of Prof. Dr.-Ing. Fritz Busch. He received his B.Eng. degree from the Department of Automation, Tsinghua University and his M.Sc. in Transport and Logistics from TUM. Xiaodong’s research interests focus mainly on the area of urban traffic. His research activities cover intelligent transportation system, urban traffic control system, microscopic traffic simulation, traffic data analysis and traffic impact analysis. Xiaodong has received multiple invitations for presenting the research work at TUMCREATE on many occasions. He has also authored or co-authored multiple publications in peer reviewed journals and conference proceedings.

Sessions

  • June 10: Dating vs marrying: PT’s new relationship with automation

    Towards the ultimate public transport system - the Dynamic Autonomous Road Transit (DART) system

    This poster introduces the concept of the Dynamic Autonomous Road Transit (DART) system. A systematic methodology framework that incorporates all related research areas related to DART development is elaborated in detail. The final results are qualitative and conceptual descriptions of the characteristics of the DART system. Being highly integrated with the existing public transport system, DART applies the latest available vehicle- and traffic-related technologies and integrates fixed and flexible routing concepts with the use of flexible fleets of modular vehicles enabling an efficient, attractive, and a comfortable transit service.