Optimizing Urban Mobility: A Data-Driven Approach to Strategic Mobility Hub Placement

2025-08-14T17:12:21-07:00

Cities would need to facilitate a multi-modal mobility platform, which provides travelers with a range of flexible mobility options, such as fixed-route or flex-route public transit, micro-transit, ride-sharing, car rentals, bike-sharing, scooters, and walking routes, some of which can be potentially served by automated vehicles. Those options altogether have potential to help residents reach businesses, employment, health care and other essential points of interest. This research acquires mobility service data to understand travel behavior in choosing mobility options, optimize design of such a platform by optimally placing mobility hubs with multiple mobility options, with the ultimate goals of improving system efficiency, increasing ridership, reducing system cost and enhancing travel safety.

Optimizing Urban Mobility: A Data-Driven Approach to Strategic Mobility Hub Placement2025-08-14T17:12:21-07:00

Data for Autonomous Transportation Awareness (DATA)

2025-09-04T03:18:40-07:00

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.

Data for Autonomous Transportation Awareness (DATA)2025-09-04T03:18:40-07:00

Rendezvous with Automation at the Curb

2025-08-14T17:22:09-07:00

Autonomous vehicles, both individual and shared shuttles, offer significant mobility benefits, especially for users who lack use of a personal vehicle. However, there are barriers towards emulating the key parts of human-driven shared ride services, such as efficient rendezvous and good curb location selection. Human drivers solve these problems with limited impact on operational cost and safety, but autonomous vehicles struggle with this poorly defined, yet critical step. We seek to address these barriers by characterizing effective and user-focused rendezvous strategies, thereby helping decisionmakers and service providers improve service, enhance safety, and lower operational cost.

Rendezvous with Automation at the Curb2025-08-14T17:22:09-07:00

Stakeholder Engagement Campaign with LA and Austin

2025-09-04T13:27:20-07:00

The successful deployment of Autonomous Vehicles (AVs) and new mobility solutions in cities like Los Angeles and Austin faces challenges due to the interplay of rapid technological change, diverse stakeholder interests, and unique local contexts. Without coordinated planning and collaboration, these efforts risk: - Fragmented deployments leading to inefficient operations, incompatible technologies, and missed opportunities to maximize benefits. - Safety and regulatory gaps where first responders, policymakers, and the public lack clear standards, certification processes, and communication protocols. - Infrastructure misalignments as AVs struggle with temporary traffic controls, construction zones, and emergency scenarios. - Limited data sharing and digital infrastructure that hinder collaboration, transparency, and interoperability across city and industry systems. - Broader urban impacts such as unforeseen consequences for land use, congestion, accessibility, public transit investment, and community acceptance. This project addresses these issues by bringing together government agencies, industry leaders, and researchers to establish shared standards, advance digital infrastructure, and develop collaborative strategies for safe, inclusive, and context-sensitive AV deployment.

Stakeholder Engagement Campaign with LA and Austin2025-09-04T13:27:20-07:00
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