数智绿波场景绿波推荐数据

依托路口数据（路口名称、路口经纬度）、路口车辆数据，进行加工、整合、分析构建模型，生成推荐的绿波路线数据；帮助城市快速分析适合建设绿波的路线情况，有利于城市的绿波建设。在自研的云通数智绿波平台上，通过对路口数据（路口名称、路口经纬度）、路口车辆数据，进行加工、分析、挖掘构建算法模型，最终生成推荐的绿波路线数据；
一、数据来源
数据清理：从数据库中抽取路口数据和路口车辆数据，对数据进行清洗；
数据处理：对数据进行过滤、去除异常和缺失数据；对数据进行计算和分析，如特征分析、数据验证等；
二、算法建模
模型评估：使用已建设的绿波路线数据对模型进行测试和评估，根据评估结果对模型进行优化；
算法描述：根据路口的位置，通过绿波推荐算法将相邻路口连接，根据路口的车辆数据情况，进行生成推荐绿波路线数据。

This dataset is constructed by processing, integrating and analyzing intersection data (including intersection name, longitude and latitude) and intersection vehicle data to build models and generate recommended green wave route data. It helps cities quickly analyze routes suitable for green wave construction, which is conducive to urban green wave construction.
On the self-developed Yuntong Digital Intelligent Green Wave Platform, by processing, analyzing and mining the above-mentioned intersection data and vehicle data, an algorithm model is finally built to generate recommended green wave route data.

I. Data Sources
1. Data Cleaning: Extract intersection data and intersection vehicle data from the database, and clean the data;
2. Data Processing: Filter the data, remove abnormal and missing data, and perform calculations and analysis such as feature analysis and data verification on the data.

II. Algorithm Modeling
1. Model Evaluation: Test and evaluate the model using the constructed green wave route data, and optimize the model based on the evaluation results;
2. Algorithm Description: Connect adjacent intersections through the green wave recommendation algorithm based on the location of the intersections, and generate recommended green wave route data according to the vehicle data of the intersections.

搜集汇总

数据集介绍

特点

该数据集名为“数智绿波场景绿波推荐数据”，由浙江云通数达科技有限公司提供，包含501条记录，每季度更新一次。数据集主要用于城市绿波路线推荐，包含路口名称、经纬度、辖区等信息，通过算法模型生成推荐路线，帮助城市优化交通流量。