# 基于yoloV11的潮汐车道流量监测系统

**Repository Path**: jiajiaq/yolov11_Vehicle-flow_monitoring

## Basic Information

- **Project Name**: 基于yoloV11的潮汐车道流量监测系统
- **Description**: 分析城市潮汐交通时空规律性、流量波动传导效应及传统管控瓶颈，基于 YOLO11 构建车流量检测模型，采集千余张多时段、多天气图像标注数据集（7:2:1 划分训练 / 验证 / 测试集），经 SGD 优化器训练后检测准确率超 90%。软件分为下位机（MicroPython 实现模块控制与数据采集）与上位机（Win10 环境下 Python+PySide6 开发交互界面，支持串口通信与参数配置）。​
- **Primary Language**: Python
- **License**: MulanPSL-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-01-26
- **Last Updated**: 2026-01-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 基于yoloV11的潮汐车道流量监测系统

#### Description
分析城市潮汐交通时空规律性、流量波动传导效应及传统管控瓶颈，基于 YOLO11 构建车流量检测模型，采集千余张多时段、多天气图像标注数据集（7:2:1 划分训练 / 验证 / 测试集），经 SGD 优化器训练后检测准确率超 90%。软件分为下位机（MicroPython 实现模块控制与数据采集）与上位机（Win10 环境下 Python+PySide6 开发交互界面，支持串口通信与参数配置）。​

#### Software Architecture
Software architecture description

#### Installation

1.  xxxx
2.  xxxx
3.  xxxx

#### Instructions

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2.  xxxx
3.  xxxx

#### Contribution

1.  Fork the repository
2.  Create Feat_xxx branch
3.  Commit your code
4.  Create Pull Request


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