Mobile parking incentives for vehicular networks: a deep reinforcement learning approach
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction
Link
https://link.springer.com/content/pdf/10.1007/s42486-020-00032-4.pdf
Reference32 articles.
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3. Cats, O., Chen, Z., Nissan, A.: Survey methodology for measuring parking occupancy: impacts of an on-street parking pricing scheme in an urban center. Transport Policy 47, 55–63 (2016)
4. Cesana, M., Fratta, L., Gerla, M., Giordano, E., Pau, G.: C-vet the ucla campus vehicular testbed: Integration of vanet and mesh networks. 2010 European Wireless Conference (EW) pp 689–695 (2010)
5. Cheng, N., Lu, N., Zhang, N., Zhang, X., Shen, X., Mark, J.W.: Opportunistic wifi offloading in vehicular environment: a game-theory approach. IEEE Trans Intell Transport Syst 17, 1944–1955 (2016)
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