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A novel approach to estimate emissions from large transportation networks: Hierarchical clustering-based link-driving-schedules for EPA-MOVES using dynamic time warping measures
Research article (International Journal of Sustainable Transportation, 2017) · cited 15× · AI/ML
A novel approach to estimate emissions from large transportation networks: Hierarchical clustering-based link-driving-schedules for EPA-MOVES using dynamic time warping measures
Summary
A novel approach to estimate emissions from large transportation networks: Hierarchical clustering-based link-driving-schedules for EPA-MOVES using dynamic time warping measures is a scholarly article[1].
Key Facts
A novel approach to estimate emissions from large transportation networks: Hierarchical clustering-based link-driving-schedules for EPA-MOVES using dynamic time warping measures'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). A novel approach to estimate emissions from large transportation networks: Hierarchical clustering-based link-driving-schedules for EPA-MOVES using dynamic time warping measures. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-approach-to-estimate-emissions-from-large-transportation-networks-hierarchical-clustering-based-link-driving-sch
MLA“A novel approach to estimate emissions from large transportation networks: Hierarchical clustering-based link-driving-schedules for EPA-MOVES using dynamic time warping measures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-approach-to-estimate-emissions-from-large-transportation-networks-hierarchical-clustering-based-link-driving-sch.
BibTeX@misc{4ortxyz_a-novel-approach-to-estimate-emissions-from-large-transportation-networks-hierarchical-clustering-based-link-driving-sch_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel approach to estimate emissions from large transportation networks: Hierarchical clustering-based link-driving-schedules for EPA-MOVES using dynamic time warping measures}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-approach-to-estimate-emissions-from-large-transportation-networks-hierarchical-clustering-based-link-driving-sch}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel approach to estimate emissions from large transportation networks: Hierarchical clustering-based link-driving-schedules for EPA-MOVES using dynamic time warping measures — https://4ort.xyz/entity/a-novel-approach-to-estimate-emissions-from-large-transportation-networks-hierarchical-clustering-based-link-driving-sch (retrieved 2026-05-24)
