Gaussian Process Dynamic Congestion Model
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A Gaussian Process Dynamic Congestion Model is a dynamic congestion model based on a adaptive routing algorithm where road traffic conditions behave as a Gaussian Process.
References
2013
- (Liu et al., 2013) ⇒ Siyuan Liu, Yisong Yue, and Ramayya Krishnan. (2013). “Adaptive Collective Routing Using Gaussian Process Dynamic Congestion Models.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487598