Search Results for author: Jianqing Wu

Found 4 papers, 3 papers with code

DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL

1 code implementation2 Nov 2022 Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Akbar Telikani, Jianqing Wu, Shubin Xie

Deep reinforcement learning (DRL) is becoming increasingly popular in implementing traffic signal control (TSC).

Q-Learning

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

1 code implementation19 Dec 2021 Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu

Many studies confirmed that a proper traffic state representation is more important than complex algorithms for the classical traffic signal control (TSC) problem.

Reinforcement Learning (RL)

Efficient Pressure: Improving efficiency for signalized intersections

1 code implementation4 Dec 2021 Qiang Wu, Liang Zhang, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu

Since conventional approaches could not adapt to dynamic traffic conditions, reinforcement learning (RL) has attracted more attention to help solve the traffic signal control (TSC) problem.

Reinforcement Learning (RL)

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