> For the complete documentation index, see [llms.txt](https://rollout.autoura.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://rollout.autoura.com/cities/north-america/jacksonville.md). # Jacksonville ### 2025 The Bay Street Innovation Corridor is an approximately 3-mile, at-grade autonomous vehicle transportation solution that will run along East Bay Street in Downtown Jacksonville, from Hogan Street to the city’s Sports & Entertainment District, which includes TIAA Bank Field, 121 Financial Field and the Vystar Veterans Memorial Arena. Operated by [Beep](/operators/beep.md) {% embed url="" %} {% embed url="" %} ### Long term The project is supported by a $12.5 million BUILD grant from the U.S. Department of Transportation, funding from the Florida Department of Transportation, North Florida Transportation Planning Organization, and local funds. Phase II of the U2C program includes a full conversion of the JTA’s elevated Skyway APM system. Phase III will expand street level extensions into neighboring communities to connect Downtown Jacksonville to nearby neighborhoods. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://rollout.autoura.com/cities/north-america/jacksonville.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.