A data mining approach to support a data-driven scheduling system for air cargo terminals

Boxnick, Simon; Lauck, Sebastian; Weber, Jens H.

doi:10.1109/apwccse.2014.7053858

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2020

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“…N A data mining approach can be utilized to support a data-driven scheduling system for air cargo terminals (Boxnick et al, 2014).…”

Section: Recommendations and Further Areas To Explorementioning

confidence: 99%

Developing a Business Ecosystem around Autonomous Vehicle Infrastructure in Indiana

Iyer¹,

Dunlop²,

Singh³

et al. 2020

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INDOT will soon be embarking on infrastructure planning to accommodate autonomous vehicles. This new technology affords the ability to impact economic value creation across the supply chain in Indiana, as well as foster economic development in Indiana to support these emerging technologies. This proposal will be a first cut towards exploring the development of a strategy to realize this potential. Our proposal will consist of two phases. Phase 1: A focus on industry choices and plans that can inform INDOT choices. Phase 2: A focus on INDOT’s internal decision making, risk tolerance, and choices regarding infrastructure projects.

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“…N A data mining approach can be utilized to support a data-driven scheduling system for air cargo terminals (Boxnick et al, 2014).…”

Section: Recommendations and Further Areas To Explorementioning

confidence: 99%

Developing a Business Ecosystem around Autonomous Vehicle Infrastructure in Indiana

Iyer¹,

Dunlop²,

Singh³

et al. 2020

View full text Add to dashboard Cite

show abstract

A data mining approach to support a data-driven scheduling system for air cargo terminals

Cited by 1 publication

References 14 publications

Developing a Business Ecosystem around Autonomous Vehicle Infrastructure in Indiana

Developing a Business Ecosystem around Autonomous Vehicle Infrastructure in Indiana

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