V2X Message Classification, Prioritization, and Spam Detection Dataset

The dataset contains a collection of V2X (Vehicle-to-Everything) messages for classification, prioritization, and spam message detection. It comprises 1,000 messages with varying message types, content, priorities, and spam labels. The messages are sourced from different vehicles with specific destination vehicles or broadcast to all vehicles. They cover various message types, including traffic updates, emergency alerts, weather notifications, hazard warnings, roadwork information, and spam messages. The priority of the messages is categorized as either high, medium, or low. High-priority messages typically involve emergencies or critical situations that require immediate attention. Medium-priority messages include traffic updates, roadwork notices, and hazard warnings. Low-priority messages consist of spam or promotional content. The dataset includes a spam label to indicate whether a message is classified as spam. Spam messages contain promotional offers, limited-time deals, or discounts, while non-spam messages convey important information related to traffic, emergencies, weather conditions, and roadwork. The dataset aims to facilitate developing and evaluating machine learning models for V2X message classification, prioritization, and spam message detection. It can be used for training and testing models to automatically analyze and process V2X messages for effective communication and decision-making in intelligent transportation systems.

本数据集汇聚了各类V2X（车辆至一切）通信消息，旨在用于分类、优先级排序以及垃圾信息检测。数据集包含1,000条消息，涉及多样化的消息类型、内容、优先级和垃圾信息标签。这些消息源自不同的车辆，旨在特定目标车辆或向所有车辆广播。消息类型涵盖交通更新、紧急警报、天气通知、危险警告、道路施工信息及垃圾信息等。消息的优先级分为高、中、低三级。高优先级消息通常涉及紧急或关键情况，需立即关注。中等优先级消息包括交通更新、道路施工通知和危险警告。低优先级消息则由垃圾信息或促销内容构成。数据集包含垃圾信息标签，用以标识消息是否被归类为垃圾信息。垃圾信息包含促销优惠、限时折扣或折扣信息，而非垃圾信息则传达与交通、紧急情况、天气状况和道路施工相关的紧要信息。该数据集旨在促进机器学习模型在V2X消息分类、优先级排序和垃圾信息检测方面的开发与评估。可用于训练和测试模型，以自动分析处理V2X消息，有效促进智能交通系统中的通信与决策。