Scalable link cost learning for real-time route guidance systems

•Developed a learning-based framework for RGS using multi-armed bandit (MAB)•Modeled latent factors as link weights, integrating real-time large-scale GPS data.•Achieved an improvement in compliance rates from 64.22 % to 70.87 % in real-world RGS experiments.•Validated scalability through national-s...

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Bibliographic Details

Published in:	Transportation research. Part C, Emerging technologies Vol. 178; p. 105244
Main Authors:	Kim, Pooreumoe, Yun, Hyunsoo, Kim, Jungmin, Kim, Dong-Kyu
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.09.2025
Subjects:	Link cost learning Multi-armed bandit Online learning Reinforcement learning Route guidance system User compliance Route guidance system Link cost learning User compliance Online learning Multi-armed bandit Reinforcement learning
ISSN:	0968-090X
Online Access:	Get full text
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