Highway network optimization

Highway network optimization is the problem of configuring highway networks to maximize economic and social utility. Numerous mathematical optimization techniques have been brought to bear on the problem, including linear programming and deep learning.[1][2][3]

Recent research has included work on treating the highway optimization problem as a dynamic system.[4]

References

  1. ^ Sakhapov, R L; Nikolaeva, R V; Gatiyatullin, M H; Makhmutov, M M (December 2017). "Mathematical model of highways network optimization". Journal of Physics: Conference Series. 936 (1) 012032. Bibcode:2017JPhCS.936a2032S. doi:10.1088/1742-6596/936/1/012032. ISSN 1742-6588.
  2. ^ Ben-Ayed, Omar; Blair, Charles E.; Boyce, David E.; LeBlanc, Larry J. (1992-12-01). "Construction of a real-world bilevel linear programming model of the highway network design problem". Annals of Operations Research. 34 (1): 219–254. doi:10.1007/BF02098181. ISSN 1572-9338.
  3. ^ Zhang, Jiankang (2024-07-25). "Optimization design of highway route based on deep learning". Frontiers in Future Transportation. 5. doi:10.3389/ffutr.2024.1430509. ISSN 2673-5210.
  4. ^ Gunarathna, Udesh; Xie, Hairuo; Tanin, Egemen; Karunasekera, Shanika; Borovica-Gajic, Renata (2023-08-31). "Real-time Road Network Optimization with Coordinated Reinforcement Learning". ACM Transactions on Intelligent Systems and Technology. 14 (4): 1–30. doi:10.1145/3603379. ISSN 2157-6904.

See also

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