Research Repository

Report | 2025

Business Model for V2X

Jiaqi Ma

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 […]

Report | 2025

AV Deployment Research and Readiness in Austin

Kate Burns, Jiaqi Ma, Camila Correa-Jullian

On July 22, 2025, the Mobility Center of Excellence hosted a workshop at Austin Community College with agencies, industry, and researchers to identify research and engagement needs for accelerating em […]

academic publication | 2025

Conference Paper: Risk Assessments Integrating V2X Into Cooperative Driving Automation

Camila Correa-Jullian, Ali Mosleh, Jiaqi Ma

Abstract Cooperative Driving Automation (CDA) and Vehicle-to-Everything (V2X) paradigms have been developed to address the limitations single-vehicle perception and decision-making capabilities across […]

Report | 2025

Quantifying Safety Impacts of V2X-Enabled Traffic Systems (Phase 1)

Ali Mosleh, Jiaqi Ma, Camila Correa-Jullian

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 […]

Report | 2025

Research Collaboration for LA28 and Beyond

Kate Burns, Jiaqi Ma

On April 15, 2025, the Mobility Center of Excellence hosted a workshop at UCLA with industry, government, and research leaders to explore how the research community can support the deployment of emerg […]

academic publication | 2024

Journal Paper: Operational safety hazard identification methodology for automated driving systems fleets

Camila Correa-Jullian, Marilia Ramos, Ali Mosleh, Jiaqi Ma

Abstract The safety of Automated Driving Systems (ADS) operating as Mobility as a Service (MaaS) depends on multiple factors in addition to the vehicle’s functionality, reliability, and performance. C […]

academic publication | 2024

Conference Paper: An STPA-Based Analysis of Automated Driving Systems Fleet Maintenance Activities

Camila Correa-Jullian, Marilia Ramos, Ali Mosleh, Jiaqi Ma

Abstract Automated Driving Systems (ADS) are complex systems composed of several sub-systems whose interaction may lead to emerging properties and unintended behaviors. The expected deployment of vehi […]

Report | 2024

Mobility COE October 3, 2024 Municipal Workshop Summary

Juan Matute, Kate Burns

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 loca […]

academic publication | 2023

California’s zero-emission vehicle adoption brings air quality benefits yet equity gaps persist

Yu Qiao, Yueshuai He, Jiaqi Ma, Yifang Zhu

Zero-emission vehicle (ZEV) adoption is a key climate mitigation tool, but its environmental justice implications remain unclear. Here, we quantify ZEV adoption at the census tract level in California […]

Report | 2023

Operational Safety Concepts for Level 4 Automated Driving System Fleets: Risk Mitigation Activities Derivation

Camila Correa-Jullian, Marilia Ramos, Jiaqi Ma, Ali Mosleh

Overview of Operational Safety Concepts for Level 4 Automated Driving System Fleets The project aims to identify safety risks associated with ongoing Automated Driving System (ADS) fleet operations us […]

Report | 2023

Operational Safety Concepts for Level 4 Automated Driving System Fleets: Best Practices from Related Industries

Camila Correa-Jullian, Marilia Ramos, Jiaqi Ma, Ali Mosleh

Report | 2023

Operational Safety Concepts for Level 4 Automated Driving System Fleets: Qualitative Risk Assessment

Camila Correa-Jullian, Marilia Ramos, Jiaqi Ma, Ali Mosleh

Data | 2023

Operational Safety Concepts for Level 4 Automated Driving System Fleets: Safety Hazard Catalog

Camila Correa-Jullian, Marilia Ramos, Jiaqi Ma, Ali Mosleh

academic publication | 2023

Conference Paper: Safety Hazard Identification of Inspection and Maintenance Operations for Automated Driving Systems in Mobility as a Service

Camila Correa-Jullian, John McCullough, Marilia Ramos, Ali Mosleh, Jiaqi Ma

Abstract Cooperative decision-making between humans and automated agents operating at various levels of autonomy (LoA) is an increasing trend observed across multiple industries and research areas. As […]