#7701. A neural network algorithm for queue length estimation based on the concept of k-leader connected vehicles

October 2026publication date
Proposal available till 24-05-2025
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Journal’s subject area:
Mechanical Engineering;
Computer Science Applications;
Electrical and Electronic Engineering;
Transportation;
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Abstract:
This paper presents a novel method to estimate queue length at signalised intersections using connected vehicle (CV) data. The proposed queue length estimation method does not depend on any conventional information such as arrival flow rate and parameters pertaining to traffic signal controllers. The model is applicable for real-time applications when there are sufficient training data available to train the estimation model.
Keywords:
Artificial neural network (ANN); CVs; Queue estimation

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