Mobility data Analytics Center – Prediction, Optimization, and Simulation toolkit for Transportation Systems
rebecca2025-09-24T12:49:09-07:00MAC-POSTS, the abbreviation of Mobility data Analytics Center – Prediction, [...]
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.
A summary of proceedings, lessons learned, conclusions, and next steps from the Mobility COE–UCLA Anderson AMR “Business Models for V2X” project, completed on May 31, 2025, outlining scalable paths to deployment.
Abstract Cooperative Driving Automation (CDA) and Vehicle-to-Everything (V2X) paradigms have [...]
In September 2015, the U.S. Department of Transportation (USDOT) Intelligent [...]
In 2022, the Partnership for Analytics Research in Traffic Safety [...]
This Federal Highway Administration (FHWA) study aims to “identify and [...]