Queue Vehicle State Prediction at Signalized Intersections Based on a Hybrid Model

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Edited by youssef_ben at 2026-10-21 06:38

Title: Queue Vehicle State Prediction at Signalized Intersections Based on a Hybrid Model
Authors: Li Liu, Mubasher Ikram, Kun Xu
Book Title: Selected Contributions of 2024 2nd International Conference on Electric Vehicle and Vehicle Engineering
Publisher: Springer Nature Singapore
Pages: 78–82
DOI: 10.1007/978-981-96-6827-4_9
URL: https://link.springer.com/chapter/10.1007/978-981-96-6827-4_9

Abstract/Summary:
Accurate prediction of vehicle speed with queued mixed traffic at signalized intersections, particularly under red light conditions, presents a significant challenge in traffic management. This paper proposes a novel hybrid model that combines a hierarchical neural network architecture to accurately predict queue vehicle states.

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[Springer] Queue Vehicle State Prediction at Signalized Intersections Based on a Hybrid Model

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