Enabling OPEN Urban Mobility Analytics with Comprehensive Drone-Derived Datasets

Category

Contribute

Institutions

EPFL

Data type

Urban traffic dataset

Field

Urban studies

Researchers

Fonod, Robert

Abstract

The OPEN-3D project revolutionizes urban mobility analytics by developing and enhancing four high-resolution traffic datasets derived from cutting-edge drone technology. This initiative, aligning with the ETH-Domain ORD Program, introduces innovative datasets and revitalizes existing ones with advanced tools, redefining traffic research practices. OPEN-3D meticulously constructs two new datasets and enriches two existing ones, all adhering to FAIR principles, supporting pivotal advancements across AI, computer vision (CV), and traffic management.

Imagine a central hub designed to facilitate global data exchange and interoperability. OPEN-3D turns this vision into reality, supporting a broad network of researchers and practitioners in traffic science, AI, and CV. This project offers unprecedented insights into urban and semi-urban traffic dynamics, enabling detailed analyses of vehicle trajectories and interactions, potentially transforming urban traffic management.

OPEN-3D not only contributes to traffic studies but also inspires global urban mobility innovation. By embracing open science principles, each dataset is accessible and poised to spur further research, setting new standards in data quality and transparency. This comprehensive approach exemplifies the potential of collaborative, data-driven innovation to enhance urban safety and efficiency, fostering sustainable urban development globally and catalyzing progress in traffic management technologies.

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