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Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques
Research article (Journal of Advanced Transportation, 2020) · cited 15× · AI/ML
Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques
Summary
Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques is a scholarly article[1].
Key Facts
Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamic-origin-destination-matrix-estimation-based-on-urban-rail-transit-afc-data-deep-optimization-framework-with-forwa
MLA“Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamic-origin-destination-matrix-estimation-based-on-urban-rail-transit-afc-data-deep-optimization-framework-with-forwa.
BibTeX@misc{4ortxyz_dynamic-origin-destination-matrix-estimation-based-on-urban-rail-transit-afc-data-deep-optimization-framework-with-forwa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques}}, year = {2026}, url = {https://4ort.xyz/entity/dynamic-origin-destination-matrix-estimation-based-on-urban-rail-transit-afc-data-deep-optimization-framework-with-forwa}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques — https://4ort.xyz/entity/dynamic-origin-destination-matrix-estimation-based-on-urban-rail-transit-afc-data-deep-optimization-framework-with-forwa (retrieved 2026-05-24)
