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ZENODO
Dataset . 2024
Data sources: ZENODO
ZENODO
Dataset . 2024
Data sources: Datacite
ZENODO
Dataset . 2024
Data sources: Datacite
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Claim

ROAD CONGESTION PREVENTION MODELS BASED ON DATA FROM DIFFERENT SOURCES.

Research datakeyboard_double_arrow_right Dataset 05 Nov 2024Publisher:Zenodo
Authors: Yosinov Saidakmal Dilshad ugli;

doi: 10.5281/zenodo.14042234 , 10.5281/zenodo.14042233

ROAD CONGESTION PREVENTION MODELS BASED ON DATA FROM DIFFERENT SOURCES.

Abstract

This article analyzes data from various sources on road congestion prevention models. Approaches to reduce congestion include modeling traffic flow, using intelligent transportation systems, improving transportation infrastructure, developing public transportation, and providing information to drivers. The article explains how these models can be used together to improve the efficiency of modern transport systems and ensure road safety. As a result, it identifies the key factors needed to develop innovative solutions and strategies in traffic prevention.

  • BIP!
    Impact byBIP!
    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).
    		 0
    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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Found an issue? Give us feedback
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