  Modern intelligent urban mobility applications are underpinned by
large-scale, multivariate, spatiotemporal data streams. Working with this data
presents unique challenges of data management, processing and presentation that
is often overlooked by researchers. Therefore, in this work we present an
integrated data management and processing framework for intelligent urban
mobility systems currently in use by our partner transit agencies. We discuss
the available data sources and outline our cloud-centric data management and
stream processing architecture built upon open-source publish-subscribe and
NoSQL data stores. We then describe our data-integrity monitoring methods. We
then present a set of visualization dashboards designed for our transit agency
partners. Lastly, we discuss how these tools are currently being used for
AI-driven urban mobility applications that use these tools.
