Stakeholder Engagement for New Mobility and Automated Vehicles Knowledge

2024-12-13T23:00:20-08:00

Local governments are at the front lines of transportation system operations - working across public works, police, fire, and transportation departments to operate and maintain local streets and roads. Unlike transportation districts, local governments are general-purpose governments with cross-departmental insights and knowledge needs. And unlike state departments of transportation,  local governments do not have in-house or on-call transportation researchers. This project aims to serve local government stakeholders on their knowledge needs related to new mobility and automated vehicles by engaging those stakeholders, identifying knowledge needs and producing and disseminating quality and effective research-based information.

Stakeholder Engagement for New Mobility and Automated Vehicles Knowledge2024-12-13T23:00:20-08:00

Risk-based Assessment of V2X-enabled Traffic Systems (Phase 1)

2024-12-12T17:07:02-08:00

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.

Risk-based Assessment of V2X-enabled Traffic Systems (Phase 1)2024-12-12T17:07:02-08:00

Optimizing urban mobility: A data-driven approach to strategic Mobility Hub placement

2024-12-12T17:07:04-08:00

Cities would need to facilitate a multi-modal mobility platform, which provides travelers with seamless access to a range of emerging mobility options, such as fixed-route or flex-route public transit, micro-transit, ride-sharing, car rentals, bike-sharing, scooters, moped, and walking routes. Those options altogether have potential to improve accessibility to essential resources regarding employment, health care and food. 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 accessibility, sustainability and efficiency for underserved populations.

Optimizing urban mobility: A data-driven approach to strategic Mobility Hub placement2024-12-12T17:07:04-08:00

Developing a Safety-Centric Framework for the Integration of Autonomous Vehicles in Local Jurisdictions

2024-12-12T17:07:06-08:00

The rapid advancement of autonomous vehicle (AV) technologies presents both unprecedented opportunities and significant safety challenges for local jurisdictions. Recent approvals by the California Public Utilities Commission (CPUC) for companies like Waymo to operate highly automated vehicle services in Los Angeles and San Francisco have ignited substantial public concern over safety and regulatory inconsistencies. This project proposes the development of a safety-centric, risk-based management framework to facilitate the at-scale integration of AVs into existing transportation systems while ensuring public safety is paramount. By engaging stakeholders, analyzing current policies, and collaborating with transportation authorities such as the San Francisco County Transportation Authority (SFCTA), we aim to establish clear performance metrics, risk tolerance levels, and deployment criteria. The framework will guide agencies in understanding and implementing the best safety management practices for AV integration, balancing innovation with public welfare. Outcomes will include comprehensive policy recommendations, refined safety performance metrics, and an enhanced AV safety framework tailored for local jurisdictions.

Developing a Safety-Centric Framework for the Integration of Autonomous Vehicles in Local Jurisdictions2024-12-12T17:07:06-08:00
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