TiHAN-V2X: A Comprehensive Dataset for Dynamic C-V2X Communication within the Indian Context

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.