Mobility Data Initiative
rebecca2025-09-24T12:52:44-07:00The Mobility Data Initiative builds synthetic, high-resolution population and travel-demand [...]
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, [...]
Mobility Data Analytics Center
rebecca2025-09-24T12:43:46-07:00Carnegie Mellon’s Mobility Data Analytics Center (MAC) at Heinz College [...]
Charging infrastructure assessment for shared autonomous electric vehicles in 374 small and medium-sized urban areas: An agent-based simulation approach
rebecca2025-09-24T12:34:11-07:00Abstract This research examines the use of Shared Autonomous Electric [...]
Envisioning shared autonomous vehicles (SAVs) for 374 small and medium-sized urban areas in the United States: The roles of road network and travel demand
rebecca2025-09-24T12:37:00-07:00Abstract This study envisions a future of operating shared autonomous [...]
Urban and regional Air Mobility (URAM) and relocation decisions in the United States: Insights from a machine learning-supported path analysis
rebecca2025-09-24T12:35:34-07:00Abstract Urban and Regional Air Mobility (URAM) uses electric vertical [...]
Constructing a routable multimodal, multi-cost, time-dependent network model with all emerging mobility options: Methodology and case studies
rebecca2025-09-24T12:38:47-07:00Abstract Cities aiming to improve their transportation networks are integrating [...]
Quantifying Safety Impacts of V2X-Enabled Traffic Systems (Phase 1)
rebecca2025-09-04T02:51:55-07:00There 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.
Business Model for V2X
rebecca2025-09-04T02:38:07-07:00A 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.
Conference Paper: Risk Assessments Integrating V2X Into Cooperative Driving Automation
camila2025-09-03T23:57:52-07:00Abstract Cooperative Driving Automation (CDA) and Vehicle-to-Everything (V2X) paradigms have [...]