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https://github.com/ikkkp/smartlightsys-master
Traffic Flow Control System is mainly divided into three development directions, namely: research and implementation of traffic flow diversion algorithm technology, implementation of system platform construction functions, and development and technical implementation of traffic light modules.
https://github.com/ikkkp/smartlightsys-master
Last synced: about 2 months ago
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Traffic Flow Control System is mainly divided into three development directions, namely: research and implementation of traffic flow diversion algorithm technology, implementation of system platform construction functions, and development and technical implementation of traffic light modules.
- Host: GitHub
- URL: https://github.com/ikkkp/smartlightsys-master
- Owner: ikkkp
- Created: 2024-02-18T06:04:58.000Z (11 months ago)
- Default Branch: master
- Last Pushed: 2024-03-27T09:51:23.000Z (9 months ago)
- Last Synced: 2024-03-27T10:56:19.380Z (9 months ago)
- Language: Java
- Homepage:
- Size: 76.2 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# smartLightSys-view-master
智能信号灯-交通流疏导控制系统，主要分为三个开发方向，分别是：**交通流疏导算法技术调研实现、系统平台搭建功能实现以及红绿灯模块的开发和技术实现。**
## 算法模块
交通流疏导算法采用了Q-learning，深度强化学习的算法。
1. Q-learning：是强化学习中的一种 values-based 算法。
2. 深度强化学习：深度Q-网络（DQN）通过经验重放和目标网络来解决稳定性和收敛问题，使Q学习更接近有监督的学习。可以有目的的强化对神经网络的训练。
## 项目概述
项目APP端作为一个交通流疏导控制系统的直观展示平台，其中集中了对交通流在地图上的分布、交通流的基本信息、红绿灯的基本信息，实现对红绿灯的增删改查、交通流疏导的预测以及疏导结果的展示。本系统致力于帮助进行交通流的疏导，进行时间成本的节约，交通通行效率的提升，交通出行的时间的大幅缩短。
## 项目说明
### 基本使用
用户可通过多种方式进行红绿灯组的信息检索。该信息检索功能包括对红绿灯组的id进行检索、对红绿灯组的地区进行检索和直接在菜单栏查找三种方式。
### 项目视频流
