Mobility-as-a-Service (MaaS) is a paradigm that encourages the shift from private cars to more sustainable alternative mobility services. MaaS provides services that enhances and enables multiple modes of transport to operate seamlessly and bringing Multimodal Intelligent Transport Systems (M-ITS) closer to reality. This requires sharing and integration of data collected from multiple sources including modes of transports, sensors, and end-users' devices to allow a seamless and integrated services especially during unprecedented disturbances. This paper discusses the interactions among transportation modes, networks, potential disturbance scenarios, and adaptation strategies to mitigate their impact on MaaS. We particularly discuss the need to share data between the modes of transport and relevant entities that are at the vicinity of each other, taking advantage of edge computing technology to avoid any latency due to communication to the cloud and privacy concerns. However, when sharing at the edge, bandwidth, storage, and computational limitations must be considered.

翻译：出行即服务（Mobility-as-a-Service, MaaS）是一种倡导从私家车向更可持续替代出行服务转变的范式。MaaS通过提供增强并支持多种交通模式无缝运行的服务，使多模态智能交通系统（Multimodal Intelligent Transport Systems, M-ITS）更接近现实。这需要共享并整合来自多种来源（包括交通方式、传感器和终端用户设备）采集的数据，以便在特别是前所未有的干扰期间提供无缝且一体化的服务。本文探讨了交通模式、网络、潜在干扰场景以及减轻其对MaaS影响的适应策略之间的相互作用。我们特别讨论了在彼此邻近的交通模式与相关实体之间共享数据的必要性，并利用边缘计算技术避免因与云端通信导致的延迟以及隐私问题。然而，在边缘侧进行共享时，必须考虑带宽、存储和计算能力的局限性。