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An ADAS with better driver satisfaction under rear-end near-crash scenarios: A spatio-temporal graph transformer-based prediction framework of evasive behavior and collision risk
Research article (Transportation Research Part C Emerging Technologies, 2024) · cited 42× · AI/ML
An ADAS with better driver satisfaction under rear-end near-crash scenarios: A spatio-temporal graph transformer-based prediction framework of evasive behavior and collision risk
Summary
An ADAS with better driver satisfaction under rear-end near-crash scenarios: A spatio-temporal graph transformer-based prediction framework of evasive behavior and collision risk is a scholarly article[1].
Key Facts
An ADAS with better driver satisfaction under rear-end near-crash scenarios: A spatio-temporal graph transformer-based prediction framework of evasive behavior and collision risk's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). An ADAS with better driver satisfaction under rear-end near-crash scenarios: A spatio-temporal graph transformer-based prediction framework of evasive behavior and collision risk. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-adas-with-better-driver-satisfaction-under-rear-end-near-crash-scenarios-a-spatio-temporal-graph-transformer-based-pr
MLA“An ADAS with better driver satisfaction under rear-end near-crash scenarios: A spatio-temporal graph transformer-based prediction framework of evasive behavior and collision risk.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-adas-with-better-driver-satisfaction-under-rear-end-near-crash-scenarios-a-spatio-temporal-graph-transformer-based-pr.
BibTeX@misc{4ortxyz_an-adas-with-better-driver-satisfaction-under-rear-end-near-crash-scenarios-a-spatio-temporal-graph-transformer-based-pr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An ADAS with better driver satisfaction under rear-end near-crash scenarios: A spatio-temporal graph transformer-based prediction framework of evasive behavior and collision risk}}, year = {2026}, url = {https://4ort.xyz/entity/an-adas-with-better-driver-satisfaction-under-rear-end-near-crash-scenarios-a-spatio-temporal-graph-transformer-based-pr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An ADAS with better driver satisfaction under rear-end near-crash scenarios: A spatio-temporal graph transformer-based prediction framework of evasive behavior and collision risk — https://4ort.xyz/entity/an-adas-with-better-driver-satisfaction-under-rear-end-near-crash-scenarios-a-spatio-temporal-graph-transformer-based-pr (retrieved 2026-05-24)
