解析模型在应对流动性挑战中的作用

Marc Barthelemy
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引用次数: 0

摘要

交通是一种复杂的现象,包含多种交通模式、基础设施要素和人类行为。要解决交通拥堵、污染和可达性等长期存在的挑战,需要一系列建模方法来优化这些系统。虽然人工智能具有变革潜力,但它不应是唯一的解决方案。在产生创新概念和工具以及促进研究人员、政策制定者和行业利益相关者之间的合作方面,解析模型仍然至关重要。
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The role of parsimonious models in addressing mobility challenges
Mobility is a complex phenomenon encompassing diverse transportation modes, infrastructure elements, and human behaviors. Tackling the persistent challenges of congestion, pollution, and accessibility requires a range of modeling approaches to optimize these systems. While AI offers transformative potential, it should not be the sole solution. Parsimonious models remain crucial in generating innovative concepts and tools and fostering collaborative efforts among researchers, policymakers, and industry stakeholders.
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