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新应用，这些方法和应用是通过纳入新的技术趋势和发展而实现的，例如汽车到X的通信或自动驾驶。SocialCars侧重于经典交通控制意义上的集中管理和个别交通参与者的地方目标意义上的分散管理的相互作用。为了在同时考虑交通参与者的需求和城市环境的约束的同时研究这种相互作用，我们提出了六个研究领域，其中我们调查了新颖的和跨学科的研究问题。我们研究与交通参与者的行为方面有关的问题，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，以及合作的(非)集中式交通管理的模型和方法。跨学科的方法将使我们能够真实地描述动态的协作交通系统，并根据社会目标来进化和优化这样的系统。SocialCars第二个资金期的重点是解决在考虑自动化混合交通场景和新型移动服务对动态交通管理的影响时出现的挑战。在这里，核心问题是如何设计本地和全球(城市范围)控制和协调战略的相互作用，以确保可持续、安全和高效的城市交通。参与教授的特定学科能力涵盖了六个研究领域，从动态地理信息系统和通信技术的交通管理到分布式决策、协调和合作的建模。SocialCars提供了一个雄心勃勃但现实的资格认证课程，该课程是根据RTG的跨学科特点量身定做的。博士生的主要地点是汽车研究中心Niedersachsen(NFF)的研究大楼，他们是一个鼓舞人心的环境的一部分，在那里他们拥有广泛的学术和工业能力，来自机动性、交通和汽车工程领域的知名同事。与此同时，学生们将他们的基础和工作空间保留在他们的“家”学院，这有助于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.