不同车型车辆通行占比分析数据集

1、数据采集：在2024年度贵州省内指定门架录入的车辆相关信息，包括：车辆类型、ETC门架编号、门架方向等； 2、数据处理：根据采集的车辆相关信息，分析在贵州省内，各月不同车型（包括一型客车、二型客车、三型客车、四型客车、一型货车、二型货车、三型货车、四型货车、五型货车、六型货车、一型专项作业车、二型专项作业车、三型专项作业车、四型专项作业车、五型专项作业车、六型专项作业车）的行驶数量、各高速公路（如沪昆高速）的使用比例。 3、数据应用：根据不同车型车辆通行占比分析数据集，可为农产品运输、工业产品运输以及旅游业游客量的预测提供数据支持，也可为各高速公路未来利用率进行预测，一方面有利于了解各月的主要发展产业，提前做好接待准备工作；另一方面，有利于合理安排路段检修的作业时间。1. Data Collection: Vehicle-related information collected at designated gantries within Guizhou Province in 2024, including vehicle type, ETC gantry number, gantry direction, and other relevant details. 2. Data Processing: Based on the collected vehicle information, analyze the monthly traffic volume of various vehicle types (including Class 1 passenger car, Class 2 passenger car, Class 3 passenger car, Class 4 passenger car, Class 1 truck, Class 2 truck, Class 3 truck, Class 4 truck, Class 5 truck, Class 6 truck, Class 1 special operation vehicle, Class 2 special operation vehicle, Class 3 special operation vehicle, Class 4 special operation vehicle, Class 5 special operation vehicle, Class 6 special operation vehicle) and the usage proportion of each expressway (e.g., Shanghai-Kunming Expressway) within Guizhou Province. 3. Data Application: The dataset analyzing the traffic proportion of different vehicle types can provide data support for forecasting agricultural product transportation, industrial product transportation and tourist volume, as well as predicting the future utilization rates of each expressway. On one hand, it helps to identify the dominant developing industries each month and make advance reception preparations; on the other hand, it facilitates the reasonable arrangement of maintenance time for road sections.

搜集汇总

背景与挑战

背景概述

该数据集包含40条记录，每日更新，用于统计2024年各月不同车型的数量，分析车流占比和高速公路使用比例，支持农产品运输、工业产品运输及旅游业预测。