Urban Traffic Control Using Distributed Multi-agent Deep Reinforcement Learning
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-29894-4_28
Reference20 articles.
1. Chu, T., Wang, J.: Traffic signal control by distributed reinforcement learning with min-sum communication. In: 2017 American Control Conference (ACC), pp. 5095–5100 (2017)
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3. Robertson, D.I., Bretherton, R.D.: Optimizing networks of traffic signals in real time - the SCOOT method. IEEE Trans. Veh. Technol. 40, 11–15 (1991)
4. Zhaomeng, C.: Intelligent traffic control central system of Beijing-SCOOT. IEEE, June 2010
5. Zhang, B., Wang, Q., Liu, F., Kang, L.: Bus signal priority based on SCOOT. IEEE, September 2017
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