Dynamic speed harmonization for mixed traffic flow on the freeway using deep reinforcement learning
Abstract In the vicinity of weaving areas, freeway congestion is nearly unavoidable due to their negative effects on the continuous freeway mainline flow. The adverse impacts include increased collision risks, extended travel time, and excessive emissions and fuel consumption. Dynamic Speed Harmoniz...
Main Authors: | Chengying Hua, Wei (David) Fan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-12-01
|
Series: | IET Intelligent Transport Systems |
Subjects: | |
Online Access: | https://doi.org/10.1049/itr2.12429 |
Similar Items
-
Model for the cooperative obstacle‐avoidance of the automated vehicle swarm in a connected vehicles environment
by: Donghai Zhai, et al.
Published: (2023-06-01) -
Altruistic cooperative adaptive cruise control of mixed traffic platoon based on deep reinforcement learning
by: Sikai Lu, et al.
Published: (2023-10-01) -
Mass‐based omni‐directional risk indicator (MORI) for multi‐participant traffic
by: Haozhan Ma, et al.
Published: (2023-11-01) -
Continuum modeling of freeway traffic flows: State-of-the-art, challenges and future directions in the era of connected and automated vehicles
by: Saeed Mohammadian, et al.
Published: (2023-12-01) -
Trajectory reconstruction for mixed traffic flow with regular, connected, and connected automated vehicles on freeway
by: Zhihong Yao, et al.
Published: (2024-03-01)