A new Probabilistic Extension of Dijkstra’s Algorithm to simulate more realistic traffic flow in a smart city
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DOI: 10.1016/j.amc.2014.11.076
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- Renata Paola Dameri & Camille Rosenthal-Sabroux (ed.), 2014. "Smart City," Progress in IS, Springer, edition 127, number 978-3-319-06160-3, April.
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- Yanfei Zhu & Yingjie Tan & Yongfa Chen & Liudan Chen & Kwang Y. Lee, 2024. "UAV Path Planning Based on Random Obstacle Training and Linear Soft Update of DRL in Dense Urban Environment," Energies, MDPI, vol. 17(11), pages 1-19, June.
- Hernando, Antonio & Roanes-Lozano, Eugenio & Garcia-Álvarez, Alberto, 2018. "A recommender system for train routing: When concatenating two minimum length paths is not the minimum length path," Applied Mathematics and Computation, Elsevier, vol. 319(C), pages 486-498.
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Keywords
Extension of Dijkstra’s Algorithm; Accelerated-time simulations; Smart cities; Probabilistic algorithms;All these keywords.
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