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ASISTGCRN: A novel approach to traffic prediction using attention-based spatiotemporal graph networks

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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
Traffic flow forecasting is a fundamental task in intelligent transportation systems, directly supporting traffic control, congestion mitigation, and urban mobility planning. However, prediction remains difficult owing to nonlinear dynamics, rapidly ...