The Workshop on
CPS Data for Transportation with Human in the Loop
Transportation CPS has evolved in recent years to produce a deluge of data coming from 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 several different data modalities in the picture, new opportunities arise in terms of data collection, validation, analysis, inference making. Additionally, 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.
The Workshop on CPS Data for Transportation with Human in the Loop 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 February 2021.
Submissions include long papers (12 pages) and short papers (6 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 o 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. Submissions must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. 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