Dynamic traffic assignment: Revision history

Jump to navigation Jump to search

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

10 October 2022

  • curprev 07:3307:33, 10 October 2022ZhengLi talk contribs 5,331 bytes +5,331 Created page with "This page is mainly based on Bazzan and Grunitzki (2016) < Bazzan, A.L.C., Grunitzki, R., 2016. A multiagent reinforcement learning approach to en-route trip building. In: 2016 International Joint Conference on Neural Networks (IJCNN). pp. 5288–5295, ISSN: 2161-4407.> and Shou et al. (2022) < Shou, Z., Chen, X., Fu, Y., Di, X., 2022. Multi-agent reinforcement learning for Markov routing games: A new modeling paradigm for dynamic traffic assignment. Transp. Res. Part C..."