GenAI-Enabled Automated Traffic Simulation Management

Microscopic traffic simulation software allows users to model traffic flow, assess traffic management strategies, and optimize transportation systems for efficiency. However, building a simulation model for a real-world road network is a complex, manual, time-consuming, and error-prone task. GenAI-Enabled Automated Traffic Simulation Management uses Generative Artificial Intelligence (AI) (GenAI) to automate the preparation of input data, the running of simulations, and the extraction of output results, enabling traffic engineers to focus on the purpose of the simulation rather than the tedious manual work of building the model. The project maps user text-based scenario descriptions to actual simulation scenarios, with step-by-step validation from the user before execution, by wrapping the INTEGRATION simulation software with a callable API via the Model Context Protocol (MCP) and a web-based interface to a large language model (LLM). The project will deliver a baseline simulation model built with the INTEGRATION microscopic simulation software for a selected freeway corridor or road network; an INTEGRATION API that wraps the simulation software using the Model Context Protocol so it can be called by any large language model; and a web-based graphical user interface that guides users in prompting an LLM to build simulation models and answer questions using Retrieval-Augmented Generation from the INTEGRATION manual. The GenAI system will be validated by comparing GenAI-generated model files against the baseline model, through human-in-the-loop validation, and through real-world deployment with the City of Alexandria.

• Record URL:
  • https://smartercenter.org/about-2/projects/title/

Language

• English

Project

• Status: Active
• Funding: $400,000.00
• Contract Numbers:

  69A3552348303

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Safety and Mobility Advancements Regional Transportation and Economics Research Center

  Morgan State University
  Baltimore, MD  United States 
• Performing Organizations:

  Safety and Mobility Advancements Regional Transportation and Economics Research Center

  Morgan State University
  Baltimore, MD  United States 
• Principal Investigators:

  Rakha, Hesham

• Start Date: 20260801
• Expected Completion Date: 20280301
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Artificial intelligence; Microscopic traffic flow; Traffic simulation; Validation
• Geographic Terms: Alexandria (Virginia)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01998032
• Record Type: Research project
• Source Agency: Sustainable Mobility and Accessibility Regional Transportation Equity Research Center
• Contract Numbers: 69A3552348303
• Files: UTC, RIP
• Created Date: Aug 1 2026 9:48AM