| Anomaly based Incident Detection in Large Scale Smart Transportation Systems | |
|---|---|
| Author | |
| Abstract |
Modern smart cities are focusing on smart transportation solutions to detect and mitigate the effects of various traffic incidents in the city. To materialize this, roadside units and ambient trans-portation sensors are being deployed to collect vehicular data that provides real-time traffic monitoring. In this paper, we first propose a real-time data-driven anomaly-based traffic incident detection framework for a city-scale smart transportation system. |
| Year of Publication |
2022
|
| Conference Name |
ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS)
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| Publisher |
IEEE
|
| Conference Location |
Milano, Italy
|
| ISBN Number |
978-1-6654-0967-4
|
| Accession Number |
21817902
|
| Other Numbers |
10.1109/ICCPS54341.2022.00026
|
| URL |
https://ieeexplore.ieee.org/document/9797502
|
| DOI |
10.1109/ICCPS54341.2022.00026
|
| Google Scholar | BibTeX | XML | DOI | |