A Simulation Modeling Methodology for Analyzing Large Complex Rail Networks

Abstract

As the congestion in the nation's freeways increases, the reliance on rail freight shipments is increasing. For this reason, models are needed to analyze the increased traffic burden on the rail networks. Compound delays and ripple effects from conflicts at complex junctions, terminals, and railroad-railroad crossings at grade and other factors in some rail networks make it difficult to develop analytical models to study delays and capacity. Therefore, a simulation modeling methodology for analyzing complex rail networks is proposed. The methodology considers both double-track and single-track lines and is insensitive to the size of the rail network. The proposed simulation modeling methodology is then used to analyze train movement from Downtown Los Angeles to the San Pedro Bay Ports.