智能集装箱多式联运风险评估数据集

卫星通信、大数据分析、物联网等高科技的广泛应用推动了智能集装箱的快速发展。然而，集装箱运输事故频繁发生，已成为进出口双方最关心的问题之一。基于风险传播理论、风险矩阵和证据推理，研究提出了一种多式联运风险评估模型智能集装箱运输。通过对沈阳-大连-上海等地的专家进行问卷调查，获取基础研究数据，保证初始数据的准确性，采用证据推理方法，构建集装箱风险评估模型，提取分析风险干扰因素，生成了准确的集装箱风险评估数据。The widespread application of high-tech fields including satellite communications, big data analytics, and the Internet of Things has driven the rapid development of smart containers. However, frequent accidents in container transportation have become one of the most concerning issues for both importers and exporters. Based on risk propagation theory, risk matrix and evidential reasoning, this study proposes a multimodal transportation risk assessment model for smart container transportation. Basic research data was obtained through questionnaire surveys administered to experts in cities such as Shenyang, Dalian, Shanghai and other regions to ensure the accuracy of initial data. The evidential reasoning method was adopted to construct the container risk assessment model, extract and analyze risk interference factors, and generate accurate container risk assessment data.

搜集汇总

背景与挑战

背景概述

该数据集基于风险传播理论、风险矩阵和证据推理方法，构建了智能集装箱多式联运风险评估模型。通过专家问卷调查获取基础数据，旨在分析风险干扰因素并生成准确的风险评估数据。数据集由武汉理工大学创建，属于交通运输工程领域，支持多式联运和智能集装箱的相关研究。