Adaptive Traffic Signal Control Methods Based on Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Adaptive Traffic Signal Control Methods Based on Deep Reinforcement Learning

Published:2019 Issue: Volume: Page:195-209
ISSN:
Container-title:Intelligent Transport Systems for Everyone’s Mobility
language:
Short-container-title:

Author:

Wan Chia-Hao,Hwang Ming-Chorng

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-7434-0_11

Reference29 articles.

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3. Sims, A.G., Dobinson, K.W.: The Sydney coordinated adaptive traffic (SCAT) system philosophy and benefits. IEEE Trans. Veh. Technol. 29(2), 130–137 (1980)

4. Gartner, N.H.: OPAC: a demand-responsive strategy for traffic signal control. Transp. Res. Rec. 906, 75–81 (1983)

5. Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction. MIT Press, Cambridge, Massachusetts, USA/London, England (2011)

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