<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The urban and economic developments of recent years have generated changes in the development of road traffic, determined by the continuous growth of the vehicle fleet, the increase in the mobility index of the existing vehicle fleet and the increase in the number of vehicles transiting the main cities of the country, this having as consequences the decrease in the traffic capacity of the streets. Through the application of innovative technologies, which allow the anticipation and control of road traffic, traffic jams are avoided, this leads to an increase in the quality of life. In this article, a case study was analyzed, in which an artificial neural network was implemented within a traffic model, with the help of which predictions were made on traffic light times. The results obtained are satisfactory, and are highlighted by the performance parameters exported from the traffic models.</p>
</abstract>

The urban and economic developments of recent years have generated changes in the development of road traffic, determined by the continuous growth of the vehicle fleet, the increase in the mobility index of the existing vehicle fleet and the increase in the number of vehicles transiting the main cities of the country, this having as consequences the decrease in the traffic capacity of the streets. Through the application of innovative technologies, which allow the anticipation and control of road traffic, traffic jams are avoided, this leads to an increase in the quality of life. In this article, a case study was analyzed, in which an artificial neural network was implemented within a traffic model, with the help of which predictions were made on traffic light times. The results obtained are satisfactory, and are highlighted by the performance parameters exported from the traffic models.

The influence of the introduction of an artificial neural network for traffic signal control

PhD Candidate at Faculty of Railways, Roads and Bridges

Technical University of Civil Engineering Bucharest

prof. dr. ing, Director of Roads, Railways and Construction Material Department within Faculty of Railways, Roads and Bridges

Romanian Journal of Transport Infrastructure

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The urban and economic developments of recent years have generated changes in the development of road traffic, determined by the continuous growth of the...

The influence of the introduction of an artificial neural network for traffic signal control

Online veröffentlicht: 06. Okt. 2023

Seitenbereich: 1 - 13

DOI: https://doi.org/10.2478/rjti-2023-0002

Schlüsselwörter
artificial neural networks, traffic, service level, vehicle queues

© 2023 Maleanu Mihai et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The influence of the introduction of an artificial neural network for traffic signal control

Online veröffentlicht: 06. Okt. 2023

Seitenbereich: 1 - 13

DOI: https://doi.org/10.2478/rjti-2023-0002

Schlüsselwörterartificial neural networks, traffic, service level, vehicle queues

© 2023 Maleanu Mihai et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
artificial neural networks, traffic, service level, vehicle queues