arbiter
JournalsAccount

Automatic estimation of effective road widths to assess disaster response vehicle accessibility in alleys using monocular 3D obstruction detection and road polygons

Joonwon Lee et al.

Journal of Transport Geography2026https://doi.org/10.1016/j.jtrangeo.2026.104657article
AJG 2ABDC A
Weight
0.50

Abstract

No abstract available.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1016/j.jtrangeo.2026.104657

Or copy a formatted citation

@article{joonwon2026,
  title        = {{Automatic estimation of effective road widths to assess disaster response vehicle accessibility in alleys using monocular 3D obstruction detection and road polygons}},
  author       = {Joonwon Lee et al.},
  journal      = {Journal of Transport Geography},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.jtrangeo.2026.104657},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Automatic estimation of effective road widths to assess disaster response vehicle accessibility in alleys using monocular 3D obstruction detection and road polygons

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.