Urban Signalized Intersection Traffic State Prediction: A Spatial–Temporal Graph Model Integrating the Cell Transmission Model and Transformer

Urban Signalized Intersection Traffic State Prediction: A Spatial–Temporal Graph Model Integrating the Cell Transmission Model and Transformer

This paper presents the Cell Transformer (CeT), which utilizes high-definition (HD) map data to predict future traffic states at signalized intersections, thereby aiding trajectory planning for autonomous vehicles. CeT employs discretized lane segments to emulate the cell transmission model, creatin...

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Bibliographic Details
Main Authors: Anran Li, Zhenlin Xu, Wenhao Li, Yanyan Chen, Yuyan Pan
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
cell transmission model
data-driven
high-definition map
signalized intersection
traffic prediction
Transformer
Online Access:https://www.mdpi.com/2076-3417/15/5/2377
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