Performance Evaluation of Traffic Signal Control Methods in Algiers City, Algeria: A Real-World Study Utilizing RESCO Benchmark Algorithms
Author:
Affiliation:
1. USTHB University,LRPE Laboratoy,Algiers
2. (ENSTICP) and Université USTHB,Algiers
3. USTHB University,Algiers
4. National Higher School of ICT and Post,Algiers
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10346234/10346249/10346431.pdf?arnumber=10346431
Reference21 articles.
1. Multi-agent reinforcement learning for traffic light control;Wiering;ICML,2000
2. Reinforcement Learning for True Adaptive Traffic Signal Control
3. Intelligent traffic light control using distributed multi-agent Q learning
4. Adaptive traffic signal control using reinforcement learning;Abhijeet,2017
5. Multi-objective reinforcement learning approach for traffic signal control;El-Tantawy;Transportation research part C: emerging technologies,2018
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