TiHAN-V2X: A Comprehensive Dataset for Dynamic C-V2X Communication within the Indian Context
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The TiHAN-V2X Dataset was collected in Hyderabad, India, across various Vehicle-to-Everything (V2X) communication types, including Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Infrastructure-to-Vehicle (I2V), and Vehicle-to-Cloud (V2C). The dataset offers comprehensive data for evaluating communication performance under different environmental and road conditions, including urban, rural, and highway scenarios. The dataset covers various communication parameters such as transmitted and received latitude, longitude, speed, altitude, heading, SNR, RSSI, path loss, effective radiated power (ERP), RX power, and noise power. This data is vital for studying the reliability and efficiency of V2X systems and optimizing protocols for connected vehicles.The dataset is structured as follows:V2V: 35 fields, 10,253 entries across 7 scenarios (S1-S7), covering both urban and rural areas, highways, and city streets.V2I: 30 fields, 2,957 entries across 3 scenarios, focusing on optimizing V2I communication performance.I2V: 38 fields, 2,106 entries collected in the TiHAN testbed at IIT Hyderabad, including weather data from RSUs and 5G sidelink interface.V2C: 22 fields, 1,971 entries, focusing on cloud communication from vehicles using the User Datagram Protocol (UDP).This dataset is critical for researchers and engineers focusing on V2X communication, enabling them to analyze communication parameters and performance under real-world conditions and apply AI/ML models to improve connected vehicle technologies.
TiHAN-V2X 数据集采集自印度海得拉巴，涵盖多种车到万物（Vehicle-to-Everything, V2X）通信类型，包括车车通信（Vehicle-to-Vehicle, V2V）、车路通信（Vehicle-to-Infrastructure, V2I）、路车通信（Infrastructure-to-Vehicle, I2V）以及车云通信（Vehicle-to-Cloud, V2C）。该数据集提供了全面的数据，用于评估不同环境与道路条件下的通信性能，覆盖城市、乡村及高速公路等场景。数据集涵盖多种通信参数，包括发射与接收的纬度、经度、速度、海拔、航向、信噪比（Signal-to-Noise Ratio, SNR）、接收信号强度指示（Received Signal Strength Indicator, RSSI）、路径损耗、有效辐射功率（Effective Radiated Power, ERP）、接收功率以及噪声功率。此类数据对于研究车万物联系统的可靠性与效率、优化网联车辆协议具有重要价值。 该数据集的结构如下： 1. 车车通信（V2V）：包含35个字段，涵盖7个场景（S1至S7）下的10253条数据，覆盖城市与乡村区域、高速公路及城市街道； 2. 车路通信（V2I）：包含30个字段，涵盖3个场景下的2957条数据，核心聚焦于车路通信性能的优化； 3. 路车通信（I2V）：包含38个字段，共2106条数据，采集自印度海得拉巴印度理工学院（IIT Hyderabad）的TiHAN测试平台，包含来自路边单元（Road Side Unit, RSU）的气象数据以及5G侧链接口数据； 4. 车云通信（V2C）：包含22个字段，共1971条数据，聚焦于车辆基于用户数据报协议（User Datagram Protocol, UDP）的云通信场景。 该数据集对于专注于车万物联通信的研究人员与工程师而言至关重要，可支持其在真实场景下分析通信参数与性能表现，并应用人工智能/机器学习（AI/ML）模型以优化网联车辆技术。
