Learning congestion propagation behaviors for traffic prediction

Traffic prediction is a challenging task as the traffic flow is influenced by many seasonal, stochastic, and structural factors. In addition, the spatial and temporal distribution of traffic flow can induce direct and indirect congestion propagation patterns. While existing works have attempted to model s...

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Bibliographic Details
Main Authors: Sun, Yidan, He, Peilan, Jiang, Guiyuan, Lam, Siew-Kei
Other Authors: School of Computer Science and Engineering
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/153857
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Institution: Nanyang Technological University
Language: English