The Workshop on
Data-Driven and Intelligent Cyber-Physical Systems (DI-CPS)
Smart Cities & Transportation CPS has evolved in recent years to produce a deluge of data.
These data comprise of safety connectivity, health services, transportation, and mobile nodes such as vehicles themselves as well as infrastructure like road-side units, DSRC units, and pole-mounted cameras, among others. Those data are extremely valuable in determining human behavior both at the scale of the entire population as well as at the level of individual people navigating the infrastructure landscape.
With the advent of IoT, sensor data is being generated at a pace and volume that is difficult to process and make inferences from. With several data modalities in the picture, new opportunities arise in terms of data collection, validation, analysis, inference making. These additional data allow for new efforts to develop novel models for traffic behavior at different geographical locations and time points, as well as what factors are consequential human driving behavior. At the same time, there is a growing need for automated applications to be fair, secure, and resilient. Participants in the workshop will exchange ideas on these and allied topics, including data science and open-source data sets for smart cities, decision making for smart cities, design of intelligent systems in smart cities, and challenges in deployment, equity, and fairness in smart cities, and security and privacy in AI for cities.
The Workshop on Data-Driven and Intelligent Cyber-Physical Systems (DI-CPS) invites academia, industry, and governmental entities to submit:
We seek submissions from researchers across the domain of transportation, connected and autonomous vehicles, and smart cities tackling the issue of data-driven modeling to study human traffic behavior, the influence of autonomous vehicles on human traffic and vice-versa, and multi-modal traffic data analysis, including but not limited to:
Further, of interest will be papers that can direct the research community to new research paradigms, and those that can set research agendas and priorities in transportation CPS data with a human in the loop. The deadline for paper submission is 14th March 2021.
Submissions include long papers (8-12 pages) , short papers (4-6 pages) and concept papers (2 pages)
Submitted papers can be up to 12 or 6 pages including appendices and references. Submissions must use the format defined by ICCPS (http://iccps.acm.org/2021/call-for-paper/). Only PDF or latex-zipped files will be accepted. Alongside the camera-ready PDF’s, you will be required to collect and submit the source files for each paper – all files which were used to create the final output (PDF), be they Word, LaTeX, image files, etc. There is no requirement to anonymize the submissions; Authors may choose to submit anonymously or not. Accepted papers will be published by the ACM Press and/or the ACM Digital Library; however, authors can choose to opt out of formal proceedings. We welcome prior work published in conferences or journals. Each accepted paper must be presented by a registered author. Submissions not meeting these guidelines risk immediate rejection. For questions about these policies, please contact the chairs.
Please submit your work at https://easychair.org/conferences/?conf=cpsiotdata2020