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SUMMARY Masdar City a zero‐emission model city, is implementing a fully automated on‐demand personal rapid transit (PRT) system for its intracity transportation needs. The car‐sized electric vehicles will run on an underground road network transporting passengers and freight throughout the city. A discrete‐event PRT simulation model (miPRT) is built to support the design and implementation of the first city application of this innovative system. Through simulation, we estimate the impact of different vehicle allocation algorithms, battery charging strategies and vehicle occupancy rates and anticipate the system's behavior under stress loads to rate its capacity limitations under travel demand surges due to special events as well as track close‐down scenarios. The simulation model assists in improving fleet utilization, energy consumption, and overall system costs. Beyond the specifics of this implementation, this paper provides a tool for testing wider adoption of the PRT concept.
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Mueller et al. (2011) studied this question.
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