Urban Traffic Prediction Using Congestion Diffusion Model

IEEE ICCE-Asia, pp. 360-363, 2020
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Bibliographic Information

TitleUrban Traffic Prediction Using Congestion Diffusion Model
AuthorsSung-Soo Kim, Moonyoung Chung, Young-Kuk Kim
VenueIEEE ICCE-Asia, pp. 360-363
Year2020
Linkhttps://ieeexplore.ieee.org/document/9276823

Summary

Proposes a congestion diffusion model for urban traffic prediction. Congestion propagates within k=3-5 hops of the original congested segment, motivating hop-constrained APSP computation — exactly the scenario where STRATA excels.