Transportation System

Transportation systems research currently focuses on improving efficiency, safety, and sustainability through advanced technologies. Key areas include leveraging large language models (LLMs) and vision-language models (VLMs) for tasks like object detection, traffic prediction, and route optimization, often employing architectures such as graph convolutional networks and generative models. Addressing biases in big mobility data and developing robust, uncertainty-aware prediction methods are also critical research priorities. These advancements hold significant potential for optimizing urban planning, traffic management, and the design of autonomous vehicles, ultimately impacting the efficiency and safety of transportation networks.