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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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OPTIMIZATION OF ROADSIDE AUTO CAMPING SITES (REST AREAS) ON HIGHWAYS USING ARTIFICIAL INTELLIGENCE: INFRASTRUCTURE GAPS AND CORRIDOR-BASED EVIDENCE FROM UZBEKISTAN

Authors: Akramov Akbarjon Akmal ugli;

OPTIMIZATION OF ROADSIDE AUTO CAMPING SITES (REST AREAS) ON HIGHWAYS USING ARTIFICIAL INTELLIGENCE: INFRASTRUCTURE GAPS AND CORRIDOR-BASED EVIDENCE FROM UZBEKISTAN

Abstract

The road network plays a decisive role in Uzbekistan’s transport system due to the country’s double-landlockedposition and its reliance on long-distance overland corridors for domestic and international connectivity. In recent years,large-scale modernization initiatives have been implemented to rehabilitate strategic highways, strengthen internationalcorridors, and improve overall transport efficiency. At the same time, challenges persist regarding infrastructure quality,safety performance, and the provision of roadside services. This article examines the current condition of Uzbekistan’shighway system, analyzes key structural and safety-related issues, and places particular emphasis on the state of roadsiderest areas as an integral yet still insufficiently developed component of road infrastructure. Drawing on academic studiesand official documentation from international development institutions, the study shows that, while corridor rehabilitationincreasingly follows a system-based approach, standardized and accessible roadside service facilities remain unevenlydeveloped. The results indicate that improving the coverage and quality of rest areas should be regarded as a necessaryelement of road safety and corridor performance rather than as a supplementary service

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average