SkyGrid: Energy-Flow Optimization at Harmonized Aerial Intersections

Sahand Khoshdel; Fatemeh Afghah; Qi Luo

doi:10.48550/arxiv.2406.13817

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SkyGrid: Energy-Flow Optimization at Harmonized Aerial Intersections

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Open access

SkyGrid: Energy-Flow Optimization at Harmonized Aerial Intersections

Sahand Khoshdel, Fatemeh Afghah and Qi Luo

ArXiv.org

Cornell University

06/19/2024

DOI: 10.48550/arxiv.2406.13817

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https://doi.org/10.48550/arxiv.2406.13817View

Preprint (Author's original)This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

Abstract

The rapid evolution of urban air mobility (UAM) is reshaping the future of transportation by integrating aerial vehicles into urban transit systems. The design of aerial intersections plays a critical role in the phased development of UAM systems to ensure safe and efficient operations in air corridors. This work adapts the concept of rhythmic control of connected and automated vehicles (CAVs) at unsignalized intersections to address complex traffic control problems. This control framework assigns UAM vehicles to different movement groups and significantly reduces the computation of routing strategies to avoid conflicts. In contrast to ground traffic, the objective is to balance three measures: minimizing energy utilization, maximizing intersection flow (throughput), and maintaining safety distances. This optimization method dynamically directs traffic with various demands, considering path assignment distributions and segment-level trajectory coefficients for straight and curved paths as control variables. To the best of our knowledge, this is the first work to consider a multi-objective optimization approach for unsignalized intersection control in the air and to propose such optimization in a rhythmic control setting with time arrival and UAM operational constraints. A sensitivity analysis with respect to inter-platoon safety and straight/left demand balance demonstrates the effectiveness of our method in handling traffic under various scenarios.

Computer Science - Systems and Control

Details

Title: Subtitle: SkyGrid: Energy-Flow Optimization at Harmonized Aerial Intersections
Creators: Sahand Khoshdel
Fatemeh Afghah
Qi Luo - University of Iowa
Resource Type: Preprint
Publication Details: ArXiv.org
DOI: 10.48550/arxiv.2406.13817
ISSN: 2331-8422
Publisher: Cornell University; Ithaca, New York
Language: English
Date posted: 06/19/2024
Academic Unit: Business Analytics
Record Identifier: 9984696842502771

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