A comprehensive flight plan risk assessment and optimization method considering air and ground risk of UAM

Yu Su, Yan Xu, Gokhan Inalhan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Inspired by risk analysis assistance service and flight plan preparation / optimization service in U-space service, this paper investigates a flight plan risk assessment and optimization method for future urban air mobility. The quantitative risk assessment of the flight plan is divided into two parts: the ground and air risks of the flight plan. After evaluating the risk of the flight plan, optimization suggestions are given to guide the path planning algorithm to optimize the flight plan at low risk. The quantitative risk assessment of the flight plan corresponds to risk analysis assistance service in U-space service, and the procedure to give optimization suggestions correspond to flight plan preparation / optimization service in U-space service. This paper selects the task scenario of logistics drone cargo transportation and carries out risk assessment on the specific flight plan. From the assessment results, when the flight plan crosses the pedestrian intensive area on the ground or the road with high-speed vehicles, the risk value of the corresponding flight plan segment increases significantly. When the flight plan segment approaches the area near the airport or intersects with other UAM participants with the same mission time window, the corresponding risk value is also high. After obtaining the risk assessment results, the targeted optimization suggestions are given to guide the path planning algorithm to optimize the flight plan at low risk. The risk of the optimized flight plan has been significantly reduced.

Original languageEnglish
Title of host publication2022 IEEE/AIAA 41st Digital Avionics Systems Conference, DASC 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665486071
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event41st IEEE/AIAA Digital Avionics Systems Conference, DASC 2022 - Portsmouth, United States
Duration: 18 Sept 202222 Sept 2022

Publication series

NameAIAA/IEEE Digital Avionics Systems Conference - Proceedings
Volume2022-September
ISSN (Print)2155-7195
ISSN (Electronic)2155-7209

Conference

Conference41st IEEE/AIAA Digital Avionics Systems Conference, DASC 2022
Country/TerritoryUnited States
CityPortsmouth
Period18/09/2222/09/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • flight plan
  • risk assessment
  • urban air mobility

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