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Expression might be enough: representing pressure and demand for
  reinforcement learning based traffic signal control

Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control

19 December 2021
Liang Zhang
Qiang Wu
Jun Shen
Linyuan Lu
Bo Du
Jianqing Wu
ArXivPDFHTML

Papers citing "Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control"

3 / 3 papers shown
Title
Learning Traffic Signal Control via Genetic Programming
Learning Traffic Signal Control via Genetic Programming
Xiao-Cheng Liao
Yi Mei
Mengjie Zhang
34
6
0
26 Mar 2024
UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic
  Signal Control
UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control
Maonan Wang
Xi Xiong
Yuheng Kan
Chengcheng Xu
Man-On Pun
16
9
0
08 Dec 2023
Efficient Pressure: Improving efficiency for signalized intersections
Efficient Pressure: Improving efficiency for signalized intersections
Qiang Wu
Liang Zhang
Jun Shen
Linyuan Lu
Bo Du
Jianqing Wu
23
28
0
04 Dec 2021
1