Nov 17, 2006 · Artificial neural networks as useful tools for the optimization of the relative offset between two consecutive sets of traffic lights.
Abstract. In this paper we present the most important results of our experimentation with artificial neural networks for correcting offset relative.
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Artificial Neural Networks as Useful Tools for the Optimization of the Relative Offset between Two Consecutive Sets of Traffic Lights,r Secundino L6pez ...
Artificial Neural Networks as Useful Tools for the Optimization of the Relative Offset between Two Consecutive Sets of Traffic Lights. Conference Paper. Jan ...
Artificial Neural Networks as Useful Tools for the Optimization of the Relative Offset between Two Consecutive Sets of Traffic Lights. IWANN (2) 1999: 795-804.
Artificial Neural Networks as Useful Tools for the Optimization of the Relative Offset between Two Consecutive Sets of Traffic Lights. Conference Paper. Jan ...
The paper presents a software application for modeling, simulation and analysis of urban traffic networks behavior in different functioning contexts.
Engineering Applications of Bio-Inspired Artificial Neural Networks (Record no. 188685) ; control field · control field ; 978-3-540-48772-2 · DE-He213.
Artificial Neural Networks as Useful Tools for the Optimization of the Relative Offset between Two Consecutive Sets of Traffic Lights · S. LópezPedro ...
Nov 27, 2021 · Wade and Saiedeh [16] proposed using an asynchronous Q-learning algorithm that takes vehicle queue density, queue length, and current traffic ...