Autonomous vehicles (AVs), i.e., self-driving cars and ships, have attracted great attention worldwide in recent years. Especially, during the epidemic of COVID-19, the expectation for autonomous vehicles is more urgent because the AVs would be capable of transferring a huge number of patients and medical resources, reducing the risk of infection among passengers and drivers, and minimizing the risk of virus transmission through transportation networks. To be capable of making optimal decisions, AVs should have the ability to perceive complex dynamic environments quickly and accurately. Fueled by big data from various sensors and advanced computing resources, data science and advanced analytics (DSAA) have become an essential component of AVs and stimulated the development of AVs.

This special session will bring together researchers, industry experts, and practitioners who are interested in cultivating specialized and important aspects of data science and analytics in the context of autonomous vehicles.

This special section will focus on (but not limited to) the following topics:

• Application of DSAA in AVs

• Machine/deep learning models for AVs

• Clustering and classification algorithms for AVs

• Big data analytics for data processing from AVs

• Efficient data generation and transmission for AVs

• Data science based trust, fraud detection, and cybersecurity

• Data science based security and privacy solutions for AVs

• Big data analytics for data processing from AVs

The length of each paper submitted to the Research and Application tracks should be no more than 10 pages, whereas the maximum number of pages is 2 for each abstract submitted to the Poster and Journal track. Both types of papers should be formatted following the standard 2-column U.S. letter style of IEEE Conference template. See the IEEE Proceedings Author Guidelines: http://www.ieee.org/conferences_events/conferences/publishing/templates.html, for further information and instructions.

All submissions will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to the scope of the conference, originality, significance, and clarity. The names and affiliations of authors must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews.

Authors are also encouraged to submit supplementary materials, i.e., providing the source code and data through a GitHub-like public repository to support the reproducibility of their research results.

Electronic submission site: https://cmt3.research.microsoft.com/DSAA2022

Reproducibility: The advancement of science depends heavily on reproducibility. We strongly recommend that the authors release their code and data to the public. Authors can provide an optional two-page supplement at the end of their submitted paper (it needs to be in the same PDF file and start at page 11). This supplement can only be used to include (i) information necessary for reproducing the experimental results reported in the paper (e.g., various algorithmic and model parameters and configurations, hyper parameter search spaces, details related to data set filtering and train/test splits, software versions, detailed hardware configuration, etc.), and (ii) any data, pseudo-code and proofs that could not be included in the main page of the manuscript due to space limitations. Papers with solid evidences for reproducibility are preferred for the Best Paper Award of a relevant track.

Authorship: The list of authors at the time of submission is considered final and any further changes of the authorship are not allowed.

Dual submissions: DSAA is an archival publication venue as such submissions that have been previously published, accepted, or are currently under consideration at other peer-review publication venues (i.e., journals, conferences, workshops with published proceedings, etc) are not permitted.

Conflicts of interest (COI): COIs must be declared at the time of submission. COIs include employment at the same institution within the past three years, collaborations during the past three years, advisor/advisee relationships, plus family and close friends. Program chairs, poster chairs, special session chairs, and tutorial chairs are not allowed to submit proposals to their organized tracks and sessions.

Attendance: At least one of the authors of each accepted paper must register in full and attend the conference to present the paper. No-show papers will be removed from the IEEE Xplore proceedings.