TY - GEN
T1 - Efficient Data Management for Intelligent Urban Mobility Systems
AU - Wilbur, Michael
AU - Pugliese, Philip
AU - Laszka, Aron
AU - Dubey, Abhishek
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/5/18
Y1 - 2021/5/18
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85108083585&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85108083585&partnerID=8YFLogxK
U2 - 10.1145/3459609.3460527
DO - 10.1145/3459609.3460527
M3 - Conference contribution
AN - SCOPUS:85108083585
T3 - DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021
SP - 22
EP - 26
BT - DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021
PB - Association for Computing Machinery, Inc
T2 - 1st ACM Workshop on Data-Driven and Intelligent Cyber-Physical Systems, DICPS 2021 - Part of CPS-IoT Week 2021
Y2 - 18 May 2021
ER -