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Generating merging strategies for connected autonomous vehicles based on spatiotemporal information extraction module and deep reinforcement learning
Research article (Physica A Statistical Mechanics and its Applications, 2022) · cited 12× · AI/ML
Generating merging strategies for connected autonomous vehicles based on spatiotemporal information extraction module and deep reinforcement learning
Summary
Generating merging strategies for connected autonomous vehicles based on spatiotemporal information extraction module and deep reinforcement learning is a scholarly article[1].
Key Facts
Generating merging strategies for connected autonomous vehicles based on spatiotemporal information extraction module and deep reinforcement learning's instance of is recorded as scholarly article[2].
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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). Generating merging strategies for connected autonomous vehicles based on spatiotemporal information extraction module and deep reinforcement learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/generating-merging-strategies-for-connected-autonomous-vehicles-based-on-spatiotemporal-information-extraction-module-an
MLA“Generating merging strategies for connected autonomous vehicles based on spatiotemporal information extraction module and deep reinforcement learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generating-merging-strategies-for-connected-autonomous-vehicles-based-on-spatiotemporal-information-extraction-module-an.
BibTeX@misc{4ortxyz_generating-merging-strategies-for-connected-autonomous-vehicles-based-on-spatiotemporal-information-extraction-module-an_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generating merging strategies for connected autonomous vehicles based on spatiotemporal information extraction module and deep reinforcement learning}}, year = {2026}, url = {https://4ort.xyz/entity/generating-merging-strategies-for-connected-autonomous-vehicles-based-on-spatiotemporal-information-extraction-module-an}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Generating merging strategies for connected autonomous vehicles based on spatiotemporal information extraction module and deep reinforcement learning — https://4ort.xyz/entity/generating-merging-strategies-for-connected-autonomous-vehicles-based-on-spatiotemporal-information-extraction-module-an (retrieved 2026-05-24)
