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Adaptive collective routing using gaussian process dynamic congestion models
7 references·6 citing·38 second hop
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this work references cited by second hop

References

  • 2011Introduction to Stochastic Programming6,490 cited
  • 2012Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting2,280 cited
  • 1998Introduction to Stochastic Programming1,692 cited
  • 2011Urban computing with taxicabs533 cited
  • 1991Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse453 cited
  • 2011Contextual Gaussian Process Bandit Optimization256 cited
  • 2004Adaptive routing with end-to-end feedback190 cited

Cited by

  • 2016Detection of traffic congestion and incidents from GPS trace analysis203 cited
  • 2022Bayesian optimization techniques for high-dimensional simulation-based transportation problems50 cited
  • 2016Dynamic collective routing using crowdsourcing data33 cited
  • 2015Non-Myopic Adaptive Route Planning in Uncertain Congestion Environments28 cited
  • 2019A Methodology of Timing Co-Evolutionary Path Optimization for Accident Emergency Rescue Considering Future Environmental Uncertainty15 cited
  • 2023O’Hare Airport Short-Term Ground Transportation Modal Demand Forecast Using Gaussian Processes5 cited

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