Guidelines for Academic Practitioner & Graduate Student Posters


  • A 150 word abstract of the poster topic should be submitted; 3-5 keywords should be provided along with the abstract.
  • Content must be original and relevant to TRF.
  • Please ensure all articles are proofread and checked for accuracy prior to submission.


  • A 3’ x 4’ standard poster board is recommended. A table or easel will be provided for displaying the poster. Because of space limitations, your poster display should not be more than 5 feet wide.
  • The PPT/pdf submission should represent the fit for the above dimensions.
  • If your poster describes a collaborative project, other contributors should be listed as co-authors on your poster.
  • Presenters should be at their poster for the duration of the session to explain and answer questions from attendees.

The poster should be as self-explanatory as possible. When someone visits a poster, you should offer to walk them through the poster and explain your research. But in some cases, the visitor will simply read the poster without your input. Be sure to number
pages or use other indicators to guide the reader from one section to another.

Usage of Large Language Models/Generative AI in Papers

Authors: If you are considering using a large language model [(LLM), e.g. ChatGPT] or Generative AI to help prepare your manuscript for submission to the Transportation Research Forum (TRF) , you must comply with the following statements.


  1. Clearly indicate the use of language models in the manuscript, including which model was used and for what purpose. Please use the methods or acknowledgements section, as appropriate.
  2. Verify the accuracy, validity, and appropriateness of the content and any citations generated by language models and correct any errors or inconsistencies.
  3. Provide a list of sources used to generate content and citations, including those generated by language models. Double-check citations to ensure they are accurate and properly referenced.
  4. Be conscious of the potential for plagiarism where the LLM may have reproduced substantial text from other sources. Check the original sources to be sure you are not plagiarizing someone else’s work.
  5. Acknowledge the limitations of language models in the manuscript, including the potential for bias, errors, and gaps in knowledge.

Please note that AI bots such as ChatGPT should not be listed as an author on your submission.