Dynamic route guidance arithmetic based on deep reinforcement learning
Routing navigation is an essential part of the transportation management field’s decision-making topic. There are many routing algorithms introduced to solve the routing planning problem and aim to narrow down the traveling time of the vehicles. However, these classical algorithms perform well in...
Main Author: | Jiang, Zhichao |
---|---|
Other Authors: | Su Rong |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/159264 |
Similar Items
-
Reinforcement learning-based route guidance system with dynamic traffic condition
by: Li, Yuzhen
Published: (2022) -
Multi-objective based dynamic vehicle route guidance system
by: Lee, Chung Siong
Published: (2008) -
VLSI architecture for hierarchical routing in dynamic route guidance systems
by: Jagadeesh, George Rosario
Published: (2008) -
Bi-level deep reinforcement learning for PEV decision-making guidance by coordinating transportation-electrification coupled systems
by: Xing, Qiang, et al.
Published: (2023) -
Deep reinforcement learning-based dynamic scheduling
by: Liu, Renke
Published: (2022)