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Valeriia Sevumyan

Biographic Data

ID6871515
NAMEValeriia Sevumyan
GIVEN NAMESValeriia
FAMILY NAMESevumyan
SIGNATURESEVUMYAN V
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Evaluation of the effectiveness of using motion detection algorithms on video recordings to automate the calculation of the boundary interval of traffic flow

    Open Access•Alexander Dobaev, Kamilla Khabaeva et al.•ARTICLE•Sustainable Development of…•2025

    Introduction. Modern requirements for assessing transport networks necessitate the development of automated data collection methods, including measuring key parameters such as cutoff intervals at uncontrolled intersections. Research Objective: To evaluate the effectiveness of a motion detection algorithm for automatically identifying frames of vehicles crossing a control zone in video recordings for the subsequent calculation of cutoff intervals …

  • Development of a method for optimizing the traffic light cycle at intersections in mountainous areas (case study of cities in the North Caucasus)

    Open Access•Valery Kudayev, Aslan Buzdov et al.•ARTICLE•Sustainable Development of…•2025

    Introduction. Optimizing traffic signal control is a critical task for improving the efficiency of transportation systems in mountainous areas, where intersections operate under challenging terrain, steep gradients, and specific seasonal traffic flow dynamics. The objective of this research is to develop a method for optimizing traffic signal cycles for two-lane intersections in mountainous areas, using the key intersection of Kosta Avenue and Mo…

No prominent works on this page.

  • Evaluation of the effectiveness of using motion detection algorithms on video recordings to automate the calculation of the boundary interval of traffic flow

    Open Access•Alexander Dobaev, Kamilla Khabaeva et al.•ARTICLE•Sustainable Development of…•2025

    Introduction. Modern requirements for assessing transport networks necessitate the development of automated data collection methods, including measuring key parameters such as cutoff intervals at uncontrolled intersections. Research Objective: To evaluate the effectiveness of a motion detection algorithm for automatically identifying frames of vehicles crossing a control zone in video recordings for the subsequent calculation of cutoff intervals …

  • Development of a method for optimizing the traffic light cycle at intersections in mountainous areas (case study of cities in the North Caucasus)

    Open Access•Valery Kudayev, Aslan Buzdov et al.•ARTICLE•Sustainable Development of…•2025

    Introduction. Optimizing traffic signal control is a critical task for improving the efficiency of transportation systems in mountainous areas, where intersections operate under challenging terrain, steep gradients, and specific seasonal traffic flow dynamics. The objective of this research is to develop a method for optimizing traffic signal cycles for two-lane intersections in mountainous areas, using the key intersection of Kosta Avenue and Mo…

Traffic control and management (2 works) · Transportation Systems and Logistics (2 works) · Altitude (triangle (1 work) · Data collection (1 work) · Image processing (1 work) · Intersection (aeronautics (1 work) · Mode (computer interface (1 work) · Motion analysis (1 work) · Motion detection (1 work) · Signal timing (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae