A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources

Research article (Transportation Research Part C Emerging Technologies, 2019) · cited 229× · AI/ML
Press Enter · cited answer in seconds

A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources

Summary

A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources is a scholarly article[1].

Key Facts

  • A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-approach-to-real-time-parking-occupancy-prediction-in-transportation-networks-incorporating-multiple-spa
MLA “A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-approach-to-real-time-parking-occupancy-prediction-in-transportation-networks-incorporating-multiple-spa.
BibTeX @misc{4ortxyz_a-deep-learning-approach-to-real-time-parking-occupancy-prediction-in-transportation-networks-incorporating-multiple-spa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-approach-to-real-time-parking-occupancy-prediction-in-transportation-networks-incorporating-multiple-spa}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources — https://4ort.xyz/entity/a-deep-learning-approach-to-real-time-parking-occupancy-prediction-in-transportation-networks-incorporating-multiple-spa (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-deep-learning-approach-to-real-time-parking-occupancy-prediction-in-transportation-networks-incorporating-multiple-spa · Last refreshed: