Spatiotemporal Heterogeneous Integrated Vehicular Naturalistic Aerial Trajectory Dataset
Our UAV-based Trajectory Dataset aims to advance the field of transportation engineering by providing high-quality, detailed, and comprehensive trajectory data. This dataset is designed to support researchers and developers in creating and validating advanced algorithms for vehicle behavior analysis, including lane change detection, traffic flow modeling, and autonomous driving systems. By offering insights into vehicular movement patterns, our dataset aims to improve traffic management systems, enhance road safety, and optimize traffic flow. Ensuring the highest data accuracy, integrity, and privacy standards is paramount to us, as it guarantees the reliability and usability of the dataset for various applications. Leveraging the power of UAVs for data collection, we aim to address current challenges in transportation research and contribute to developing safer, more efficient, and smarter transportation systems.
Exploring Heterogeneous Traffic Dynamics in Indian Road Networks : An Overview
Complex Multi-Lane Intersection with Rail Underpass:
"This video showcases a highly intricate traffic system where multiple road lanes converge and interact with each other, all while passing under an active railway line. The diverse vehicle movements in this non-lane-based traffic environment present unique challenges for trajectory analysis and traffic management in heterogeneous conditions."
Heterogeneous Traffic at a Roundabout in Andaman and Nicobar Islands:
"This aerial view of a roundabout captures the diverse vehicle movements typical of non-lane-based traffic in India. The varying vehicle sizes and unpredictable paths highlight the complexities of managing mixed traffic flow at intersections, providing valuable insights for trajectory data analysis."
Expressway with Protected U-Turn: Managing Mixed Traffic:
"This video captures a section of an expressway featuring a protected U-turn, a critical element in facilitating smooth traffic flow. The mix of vehicle types and non-lane-based behavior demonstrates the challenges and opportunities in managing diverse traffic on high-speed corridors, offering key insights for trajectory data analysis."
*Disclaimer: Data provided should only be used for research and educational purposes