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Air Traffic Assignment for Intensive Urban Air Mobility Operations

Abstract : n high-density Urban Air Mobility (UAM) operations, reducing congestion and structural constraints are key challenges. Pioneering urban airspace design projects expect the air vehicles to fit into structured UAM corridor networks. However, most existing air transport networks are not capable of handling the increasing traÿc demand, which is likely to cause congestion, traÿc complexity, and safety issues. To adapt the increasing demand to the current airspace capacity, a novel macroscopic traÿc assignment model is proposed to mitigate the congestion and organize the structure of air traÿc flow. Firstly, the UAM corridor is designed and fitted into graph representation. Then, a traÿc assignment problem based on Linear Dynamical System (LDS) is formalized to minimize the congestion factors and the intrinsic air traÿc complexity. A two-step resolution method based on Dafermos’ algorithm is introduced to eÿciently solve this optimization problem. A case study is carried out on a two-layer air transport network with intensive UAM operations. The results demonstrate that the proposed model can successfully mitigate urban airspace congestion and organize the UAM traÿc into a low-complexity flow pattern. This approach can be used as a tool to assist Air Navigation Service Provider (ANSP) in strategic planning for a given transportation network.
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Contributor : Christine Grec Connect in order to contact the contributor
Submitted on : Monday, November 8, 2021 - 11:47:54 AM
Last modification on : Tuesday, November 9, 2021 - 1:29:48 PM


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  • HAL Id : hal-03082598, version 1



Zhengyi Wang, Daniel Delahaye, Jean-Loup Farges, Sameer Alam. Air Traffic Assignment for Intensive Urban Air Mobility Operations. Journal of Aerospace Information Systems, American Institute of Aeronautics and Astronautics, 2021. ⟨hal-03082598⟩



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