Abstract
Accurate assessment and effective control of urban passenger transportation hub operations are an area that traditional methods have yet to address satisfactorily. This article presents a framework for parallel management and control based on the artificial societies, computational experiments, and parallel execution (ACP) paradigm. The authors first introduce the components, internal interactions, and support mechanism of artificial transportation hubs. They then describe an agent-based model for the hub including the computational experiments and responsibilities of parallel execution in active hub management and control. Thy also present an implementation of the framework through field tests. The framework can improve operational efficiency and service quality of urban passenger transportation hubs.
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