Dynamic Simulation of a DPM Auto Intercept System

by Jerome M. Lutin, Parsons Brinckerhoff Quade &, Douglas Inc, New York, NY, USA,
Gregory P. Benz, Parsons Brinckerhoff Quade &, Douglas Inc, New York, NY, USA,

Document Type: Proceeding Paper

Part of: Automated People Movers: Engineering and Management in Major Activity Centers


This paper reports on the application of the UMTA Station Simulation Model (USS), which incorporates a dynamic path-choice algorithm, to model the diversion of motorists to a downtown people mover (DPM) system as congestion increases. A case study was chosen in Atlantic City, New Jersey, where severe auto congestion is being encountered, and where DPM systems have frequently been suggested as a means to intercept motorists and reduce congestion. The model is shown to be sensitive to both auto and DPM congestion. The paper discusses how the program was set up to simulate a DPM system, the various outputs obtained, and how the reports were used to evaluate DPM system operation. The paper concludes with a discussion of some of the likely difficulties to be encountered in implementing a DPM system in Atlantic City.

Subject Headings: Traffic models | Simulation models | Rail transportation | Mathematical models | Dynamic models | Automated people movers | Traffic congestion | New Jersey | United States

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