Deep reinforcement learning for traffic signal control under disturbances: A case study on Sunway city, Malaysia

Author:

Rasheed Faizan,Yau Kok-Lim Alvin,Low Yeh-Ching

Funder

Malaysian Ministry of Education under Fundamental Research Grant Scheme

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference41 articles.

1. W.F. Adams, Road traffic considered as a random series, Institution Civil Engineers J/UK/.

2. Traffic network micro-simulation model and control algorithm based on approximate dynamic programming;Yin;IET Intell. Transp. Syst.,2016

3. Self-organizing traffic lights: A realistic simulation;Cools,2013

4. Reinforcement learning-based variable speed limit control strategy to reduce traffic congestion at freeway recurrent bottlenecks;Li;IEEE Trans. Intell. Transp. Syst.,2017

5. S. Kumar, P. Shah, D. Hakkani-Tur, L. Heck, Federated control with hierarchical multi-agent deep reinforcement learning, arXiv preprint arXiv:1712.08266.

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