Route network design in low-altitude airspace for future urban air mobility operations A case study of urban airspace of Singapore
Résumé
The rapid growth of the metropolis leads to the proposal of alternative solutions, including the concept of Urban Air Mobility (UAM). Automated and highly-integrated UAM networks have been proved to have great advantages to handle UAM traffic flow with intense density and complexity in the near future. This research addresses designing UAM route networks in low-altitude airspace to minimize noise impact and maximize the efficiency and safety of UAM operations. Singapore's urban airspace is selected for the case study. On the basis of the open-source data of Singapore, the UAM network is designed as a grid-based multi-layer route network that supports twoway traffic. The topology features of the route network are analyzed. To provide alternative travel options for UAM traffic flow, we search for feasible routes between Origin-Destination (OD) pairs by solving k-Shortest Path with Diversity (KSPD) problem that minimizes link costs in terms of noise impact, safety and efficiency. The resulting feasible routes can potentially reduce airspace complexity and can be used for air traffic assignment. In addition, the impact of different parameter settings for link costs on UAM services is explored.
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