GRK 1931: SocialCars - Cooperative (De-)Centralised Traffic Management

SocialCars研究培训小组（RTG）的总体目标是研究合作交通管理的新方法和应用，这些方法和应用包括新的技术趋势和发展，如Car-to-X通信或自动驾驶。SocialCars侧重于经典交通控制意义上的集中管理和个体交通参与者的局部目标意义上的分散管理的相互作用。为了研究这种相互作用，同时考虑到交通参与者的需求和城市环境的约束，我们提出了六个研究领域，其中我们探讨了新颖的跨学科研究问题。我们研究与交通参与者的行为方面、社会和管理目标、通信、交互和动态地理信息的技术和算法基础以及合作（非）集中交通管理的模型和方法有关的问题。跨学科方法将使我们能够真实地描述动态合作交通系统，并根据社会目标发展和优化此类系统。SocialCars的第二个资助期的重点是解决在考虑自动混合交通场景和动态交通管理的新型移动服务的影响时出现的挑战。在这里，核心问题是如何设计地方和全球（城市范围内）控制和协调策略的相互作用，以确保可持续、安全和高效的城市交通。参与的教授的专业能力涵盖了六个研究领域，从交通管理到动态地理信息系统和通信技术，再到建模分布式决策、协调与合作。SocialCars提供了一个雄心勃勃但现实的资格课程，这是根据RTG的跨学科特点量身定制的。博士生的主要位置是下萨克森州汽车研究中心（NFF）的研究大楼，在那里他们是一个鼓舞人心的环境的一部分，拥有广泛的学术和工业能力，来自在移动，交通和汽车工程领域工作的知名同事。与此同时，学生们在他们的“家庭”研究所保留他们的基础和工作空间，这有助于促进他们融入自己的学科。这大大扩大了参与大学和整个地区的博士资格的机会。

The overall objective of the SocialCars Research Training Group (RTG) is to investigate new methods and applications of cooperative traffic management that are enabled by including new technological trends and developments such as Car-to-X communication or automated driving. SocialCars focuses on the interplay of centralized management in the sense of classical traffic control, and decentralized management in the sense of the local goals of individual traffic participants. In order to study this interplay while considering both the requirements of traffic participants and the constraints of the urban environment, we propose six fields of research, in which we investigate novel and interdisciplinary research questions. We study problems related to behavioural aspects of traffic participants, societal and management objectives, technical and algorithmic foundations of communication, interaction, and dynamic geo-information, as well as models and methods of cooperative, (de)centralized traffic management. The interdisciplinary approach will enable us to realistically describe dynamic cooperative traffic systems, and to evolve and optimize such systems in accordance with societal objectives. The focus of the second funding period of SocialCars is on addressing challenges that arise when considering the implications of automated mixed traffic scenarios and novel mobility services for dynamic traffic management. Here, the core question is how the interplay of local and global (city-wide) control and coordination strategies should be designed to ensure sustainable, safe, and efficient urban traffic. The subject-specific competences of the participating professors provide excellent coverage of the six fields of research, from traffic management over dynamic geoinformation systems and communication technology to modelling distributed decisionmaking, coordination, and cooperation. SocialCars offers an ambitious but realistic qualification programme, which is tailored to the interdisciplinary character of the RTG. The primary location of the doctoral students is the research building of the Automotive Research Center Niedersachsen (NFF), where they are part of an inspiring environment with a wide range of academic and industrial competences from renowned colleagues working in the areas of mobility, traffic, and automotive engineering. At the same time, the students retain their basis and workspace at their ‘home’ institutes, which serves to foster their embedding in their own discipline. This substantially expands the doctoral qualification opportunities for the participating universities and the whole region.