1 code implementation • 2 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).
1 code implementation • 19 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.
1 code implementation • 4 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.
no code implementations • Transportation Research Record, v 2672, n 45, p 106-114, 2018 • Jianqing Wu, Hao Xu, Yuan Sun, Jianying Zheng, and Rui Yue
Background filtering is the preprocessing step to obtain the HRMTD of different roadway users from roadside LiDAR data.