Systems Analysis and Optimization

Scalable Vehicle-to-Everything (V2X) solutions are essential for enhancing road safety and traffic efficiency in our communities. This project investigates scalable V2X options by considering global advancements and varied technological ecosystems, utilizing all forms of V2X connectivity—including Cellular V2X (C-V2X), Mobile Edge Computing (MEC), and cellular networks—with Los Angeles serving as a case study. Currently, there’s no comprehensive plan to implement these advanced vehicle communication technologies. Our aim is to develop a strategic plan to deploy V2X technology in Los Angeles and Ventura Counties, improving safety, reducing traffic congestion, and preparing for major events like the 2028 Olympic Games. By engaging with various stakeholders and building a practical plan, we hope to create a reference that can inform future deployments by Caltrans or other cities across the U.S.

AV deployments are rapidly expanding across multiple urban environments, yet current AV operations and planning are often hindered by limited access to standardized, real-time municipal data. Cities produce a wide range of data that could critically inform AV routing and decision-making, including 911 call logs, real-time street closures, construction activities, and emergency response events. However, these data are rarely available in a consistent standardized format suitable for AV consumption. The Data for Autonomous Transportation Awareness (DATA) project aims to close this gap by identifying key municipal data sources, evaluating existing data standards, and developing a scalable, standardized data-sharing framework that can be integrated into AV operational systems. Through stakeholder engagement and data standards analysis, the project will enable AVs to proactively avoid potentially problematic areas (e.g., emergency incidents or active construction zones), thereby reducing conflicts with first responders, improving roadway safety, and optimizing traffic operations. Ultimately, the DATA project will foster replicability, support widespread industry adoption, and ensure that AVs can leverage city data efficiently and consistently, avoiding a fragmented “patchwork” of standards across different regions.

Transit accessibility remains an issue for many residents. Additionally, empty buses run during off-peak or late-night hours and in suburban areas to meet coverage requirements, often resulting in inefficient resource allocation. This project will assess the potential for new mobility services (e.g., AVs and micromobility) to fill gaps in transit service and improve operational efficiency.