Expression is enough: Improving traffic signal control with advanced traffic state representation

• URL: http://arxiv.org/abs/2112.10107v1
• Date: Sun, 19 Dec 2021 10:28:39 GMT
• Title: Expression is enough: Improving traffic signal control with advanced traffic state representation
• Authors: Liang Zhang, Qiang Wu, Jun Shen, Linyuan L\"u, Jianqing Wu, Bo Du
• Abstract summary: We present a novel, flexible and straightforward method advanced max pressure (Advanced-MP) We also develop an RL-based algorithm template Advanced-XLight, by combining ATS with current RL approaches and generate two RL algorithms, "Advanced-MPLight" and "Advanced-CoLight" Comprehensive experiments on multiple real-world datasets show that: (1) the Advanced-MP outperforms baseline methods, which is efficient and reliable for deployment; (2) Advanced-MPLight and Advanced-CoLight could achieve new state-of-the-art.
• Score: 24.917612761503996
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Recently, finding fundamental properties for traffic state representation is more critical than complex algorithms for traffic signal control (TSC).In this paper, we (1) present a novel, flexible and straightforward method advanced max pressure (Advanced-MP), taking both running and queueing vehicles into consideration to decide whether to change current phase; (2) novelty design the traffic movement representation with the efficient pressure and effective running vehicles from Advanced-MP, namely advanced traffic state (ATS); (3) develop an RL-based algorithm template Advanced-XLight, by combining ATS with current RL approaches and generate two RL algorithms, "Advanced-MPLight" and "Advanced-CoLight". Comprehensive experiments on multiple real-world datasets show that: (1) the Advanced-MP outperforms baseline methods, which is efficient and reliable for deployment; (2) Advanced-MPLight and Advanced-CoLight could achieve new state-of-the-art. Our code is released on Github.

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