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Analysis of institutional authors

Bajo, JAuthor

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February 13, 2024
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Traffic Optimization Through Waiting Prediction and Evolutive Algorithms

Publicated to: International journal of interactive multimedia and artificial intelligence. 9 (3): 96-103 - 2025-06-01 9(3), DOI: 10.9781/ijimai.2023.12.001

Authors:

García, F; Hernández, H; Moreno-García, MN; De Paz, JF; López, VF; Bajo, J
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Affiliations

Univ Politecn Madrid, Dept Artificial Intelligence, ETSI Informat, Madrid 28660, Spain - Author
Univ Salamanca, Data Min Res Grp, Plaza Caidos S-N, Salamanca, Spain - Author
Univ Salamanca, Expert Syst & Applicat Lab, Plaza Caidos S-N, Salamanca, Spain - Author
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Abstract

Traffic optimization systems require optimization procedures to optimize traffic light timing settings in order to improve pedestrian and vehicle mobility. Traffic simulators allow obtaining accurate estimates of traffic behavior by applying different timing configurations, but require considerable computational time to perform validation tests. For this reason, this project proposes the development of traffic optimizations based on the estimation of vehicle waiting times through the use of different prediction techniques and the use of this estimation to subsequently apply evolutionary algorithms that allow the optimizations to be carried out. The combination of these two techniques leads to a considerable reduction in calculation time, which makes it possible to apply this system at runtime. The tests have been carried out on a real traffic junction on which different traffic volumes have been applied to analyze the performance of the system.
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Keywords

Evolutionary algorithmsFlowPrediction systemsPrediction systems. traffic optimizationSimulationTraffic optimizationTraffic simulator

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal International journal of interactive multimedia and artificial intelligence due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Computer Vision and Pattern Recognition. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Computer Science, Interdisciplinary Applications.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-02:

  • Scopus: 1
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Impact and social visibility

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Additionally, the work has been submitted to a journal classified as Diamond in relation to this type of editorial policy.
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (BAJO PEREZ, JAVIER).

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Awards linked to the item

This work was supported by the Spanish Agencia Estatal de Investigacion. Project Monitoring and tracking systems for the improvement of intelligent mobility and behavior analysis (SiMoMIAC) . Sistema de procesamiento distribuido para la optimizacion en movilidad y transporte-Distributed processing system for mobility and transport optimization PID2019-108883RB-C21/AEI/10.13039/501100011033. PID2019-108883RB-C22-Sistema de monitorizacion y control para el apoyo a la toma de decisiones en el mantenimiento de infraestructuras. Francisco Garcia Encinas' research was partly supported by the Spanish Ministry of Universities (FPU Fellowship under Grant FPU19/02455) .
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