Completed Research Reports

The reports posted on this page are from research projects in which MDOT SHA was the primary sponsor and State Planning and Research (SPR) Part 2 funds were utilized. Electronic copies of research reports completed since 2000 are available. Final reports are organized by subject area and can be downloaded in PDF format.

Click on a subject area to access a list of published reports for that topic. If you are unsure which subject area a specific report is filed under please use the search tool below.

For information on reports provided on this page, contact the Research and Knowledge Management Division at [email protected]. 

No Generative Artificial Intelligence Training

Without any way limiting the author or other copyright owner’s exclusive right under copyright, the owners of the below listed reports, which includes authors, contractors and MDOT SHA, do not consent to the content being used or downloaded for the purposes of developing, training, or operating any artificial intelligence (AI) tool or model, or other machine learning systems operated by any generative artificial intelligence (GAI) model, which could include but is not limited to machine learning (ML) tools, large language models (LLM), generative adversarial networks (GAN), open AI programs (OpenAI), generative pre-trained transformers (GPT), or their sublicensees. Any use of any of listed reports to train generative AI technologies or their sublicenses is expressly prohibited. The owners of any of the listed reports reserve all rights to license uses of this work and any artificial intelligence tool that can generate works must obtain the owner’s specific and express permission to generate any works using data and information from this report.

Research Request for Proposals

The MDOT SHA conducts an annual request for proposals based on priority research topics. If you are a researcher at a Maryland Institution of Higher Education in Civil Engineering or another transportation related field and would like to be added to the distribution list, please email your name, title, university affiliation, and email address to [email protected].  

The e-mail account is staffed Monday–Friday 7:30 a.m.–4:00 p.m. You can expect a response within one business day.