Securing the Transportation of Tomorrow: Enabling Self-Healing Intelligent Transportation
Proceedings - International Computer Software and Applications Conference, ISSN: 0730-3157, Vol: 2023-June, Page: 946-949
2023
- 1Citations
- 78Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations1
- Citation Indexes1
- Usage78
- Downloads74
- Abstract Views4
Conference Paper Description
The safety of autonomous vehicles relies on dependable and secure infrastructure for intelligent transportation. The doctoral research described in this paper aims to enable self-healing and survivability of the intelligent transportation systems required for autonomous vehicles (AV-ITS). The proposed approach is comprised of four major elements: qualitative and quantitative modeling of the AV-ITS, stochastic analysis to capture and quantify interdependencies, mitigation of disruptions, and validation of efficacy of the self-healing process. This paper describes the overall methodology and presents preliminary results, including an agent-based model for detection of and recovery from disruptions to the AV-ITS.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85168910255&origin=inward; http://dx.doi.org/10.1109/compsac57700.2023.00126; https://ieeexplore.ieee.org/document/10197084/; https://scholarsmine.mst.edu/ele_comeng_facwork/5089; https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=6118&context=ele_comeng_facwork
Institute of Electrical and Electronics Engineers (IEEE)
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