Mobility Data Initiative
rebecca2025-09-24T12:52:44-07:00The Mobility Data Initiative builds synthetic, high-resolution population and travel-demand [...]
The Mobility Data Initiative builds synthetic, high-resolution population and travel-demand [...]
MAC-POSTS, the abbreviation of Mobility data Analytics Center – Prediction, [...]
Carnegie Mellon’s Mobility Data Analytics Center (MAC) at Heinz College [...]
Abstract This study envisions a future of operating shared autonomous [...]
Abstract Cities aiming to improve their transportation networks are integrating [...]
There is a significant interest in researching methods to improve V2X cost-benefit analysis (CBA) and the development of a decision support tool for deployment for different stakeholders. To develop a framework that allows the assessment of the safety and traffic impacts of V2X technology and provides actionable insights for deriving safety, reliability, and connectivity requirements.
Abstract Cooperative Driving Automation (CDA) and Vehicle-to-Everything (V2X) paradigms have [...]
In September 2015, the U.S. Department of Transportation (USDOT) Intelligent [...]
A summary of proceedings, lessons learned, conclusions, and next steps from a gathering of approximately 50 transportation professionals gathered in Washington, DC on October 3rd, 2024 to discuss local perspectives on new mobility and automated vehicles.
Overview of Operational Safety Concepts for Level 4 Automated Driving [...]