Agent-Based Approaches in Freight Systems: Towards A Door-To-Door (D2D) Freight Optimization

This project focuses on developing an agent-based model to optimize door-to-door freight movement by simulating container flows across multimodal networks. The study includes constructing an open-source simulator that integrates freight energy efficiency models for trains and ships, utilizing in-house simulators NeTrainSim and ShipNetSim. Through scenario analysis, the model will evaluate energy use, policy impacts, and logistical efficiencies in container movements. This project anticipates that its results will guide sustainable practices in freight logistics, reduce greenhouse gas emissions, and improve decision-making for supply chain operations.

The anticipated results include a validated agent-based simulator that accurately models container movement efficiency across multimodal systems. Findings will inform best practices for energy use and logistical strategies, contributing to sustainability and emissions reductions in the U.S. freight sector​.