Conference Agenda
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Agenda Overview |
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D444: DESIGNING FUTURE MOBILITY SYSTEMS
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Designing a modular platform of flying cars for diverse demands 1City University of Hong Kong, Hong Kong S.A.R. (China); 2Massachusetts Institute of Technology, United States of America Current flying-car designs lack scalability for diverse missions. This paper presents a modular design platform for developing reconfigurable flying-cars, embedding modularity across structural, electrical, and flight control domains. A full-scale sightseeing prototype demonstrates the platform’s feasibility and flexibility. The work contributes to design methodology by illustrating how modular architectures improve cross-mission adaptability, scalability, and lifecycle efficiency in complex mechatronic systems. (project introduction video available at https://www.aidilab.ai/flying-car) No driver needed? A perspective from standards, laws and regulations on autonomous transit buses Institute for Engineering Design and Industrial Design, University of Stuttgart, Germany Autonomous driving is a promising technology for public transportation to solve two main challenges: The driver shortage and the reduction of environmental impact. This contribution investigates if already existing requirements in standards, laws, regulations and guidelines for accessibility, safety, security and bus drivers’ tasks of transit buses in Europe and Germany can also be complied to with an autonomous transit bus or if the requirements need an adaption. 54 impactful requirements on autonomous transit buses have been found and their impact and opening design space will be discussed. Insights from knowledge-based engineering in industrial practice – a Saab’s perspective 1Saab AB, Aeronautics, Sweden; 2Department of Management and Engineering, Linköping University, Sweden The pilot project initiatives using Knowledge-Based Engineering (KBE), Design Automation (DA), and visual modelling techniques, at Saab Aeronautics, are presented in this work. The aim is to evaluate their practical applicability and outline how organisations can implement accelerated product development methodologies. By integrating organisational knowledge, parametric models, standardized workflows and automation tools, design lead times are significantly reduced, allowing design expertise to focus on innovation, quality, and strategic problem-solving. Demographic profile and usage behavior of public transport users in the Munich Metropolitan Region: findings from a large-scale online survey on current and autonomous transit 1Institute for Engineering Design and Industrial Design, University of Stuttgart, Germany; 2Department of Social Sciences, Social Research Center, TU Dortmund University, Germany This paper addresses the lack of empirical knowledge on which demographic groups are most likely to use autonomous buses in the Munich Metropolitan Region. We analyze this question through a large-scale online survey capturing demographics, mobility behavior, and accessibility needs. Results show that younger, multimodal, and well-educated individuals form the core of potential users, while older and car-dependent groups remain hesitant. The findings highlight that successful deployment requires inclusive design, improved accessibility, and targeted communication strategies. | ||
