Airspace Congestion, flow Relations, and 4-D fundamental Diagrams for advanced urban air mobility

Cummings, Christopher; Mahmassani, Hani

doi:10.1016/j.trc.2023.104467

Transportation Research Part C: Emerging Technologies

2024

DOI: 10.1016/j.trc.2023.104467

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Airspace Congestion, flow Relations, and 4-D fundamental Diagrams for advanced urban air mobility

Christopher Cummings,

Hani Mahmassani

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2024

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Cited by 2 publications

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Integrated departure and boundary control for low-altitude air city transport systems

Safadi,

Geroliminis,

Haddad

2024

Transportation Research Part B: Methodological

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Integrated departure and boundary control for low-altitude air city transport systems

Safadi,

Geroliminis,

Haddad

2024

Transportation Research Part B: Methodological

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Vertiport Infrastructure Location Optimization for Equitable Access to Urban Air Mobility

Volakakis,

Mahmassani

2024

Infrastructures

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Urban air mobility (UAM) has recently emerged as a promising new transportation mode, with various potential use cases. Facility location problems are well studied and of significant importance for various transportation modes. This work introduces a vertiport location identification framework, focusing on demand coverage and infrastructure accessibility. An Agglomerative Hierarchical Clustering (AHC) model was utilized for the identification of candidate vertiport locations, along with a k-means algorithm, for comparison and validation purposes, based on an estimated UAM demand pattern. A genetic algorithm (GA) was then formulated, for the solution of the proposed Uncapacitated and Capacitated Vertiport Location Problems (UVLP and CVLP, respectively), variations of the Uncapacitated and Capacitated Facility Location Problems. To evaluate and compare the introduced methodology, different existing facility location problems (FLPs) were considered and solved exactly using integer and linear programming. These are the Location Set Covering Problem (LSCP), the Maximal Coverage Location Problem (MCLP), and the p-median problem. The p-center problem was also considered and solved via a heuristic approach. The proposed framework is illustrated through applications in the Chicago Metropolitan Area, with the demand estimated on the basis of existing taxi and Transportation Network Company (TNC) data.

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Airspace Congestion, flow Relations, and 4-D fundamental Diagrams for advanced urban air mobility

Cited by 2 publications

References 21 publications

Integrated departure and boundary control for low-altitude air city transport systems

Integrated departure and boundary control for low-altitude air city transport systems

Vertiport Infrastructure Location Optimization for Equitable Access to Urban Air Mobility

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