- Roadway design doesn’t always reliably consider the needs of cyclists.
- Xiang Jacob Yan, Ph.D., is developing a tool to help designers incorporate cyclists’ perspectives with the help of LLMs.
- It enables designers to generate hypothetical street designs on top of real street-view images using LLMs for cyclist perspectives.
Roadway design is a complex task. Designing a new road or redesigning an existing one requires addressing a complicated mix of design manuals and standards, traffic impacts and input from stakeholders and local government.
But there is a key group of stakeholders whose needs are often inadequately considered in road infrastructure, travelers who are more vulnerable to traffic hazards and patterns — cyclists.
Xiang Jacob Yan, Ph.D., is trying to change that.
An assistant professor in the University of Florida’s Department of Civil & Coastal Engineering, or CCE, Yan’s Just & Green Transportation Lab is developing a tool to help designers incorporate cyclists’ perspectives with the help of large language models, or LLMs.