4D Airspace Discretization and Trajectory Optimization Framework for Autonomous Unmanned Aerial Vehicles in Cities

Autonomous systems’ integration in cities for last-mile applications adds new layers of complexity due to the interactions with society and context. The stricter policies on the use of trucks in Europe, where denser urbanism has been prevalent (Giuliano et al., 2013), have accelerated the utilization of aerial transport within cities. Unmanned Aerial Vehicles or System (UAVs or UAS) or ‘drones’ have been heavily considered for permanent integration in urban transport due to their small size, versatility, low cost, and minimal environmental impact (Khan et al., 2018; Shakhatreh et al., 2019; Elsayed & Mohamed, 2020 a ElSayed & Mohamed, 2020 b). The technological transformation toward autonomous UAVs consumerization of civil air space is very similar to the paradigm shift created by Henry Ford in the early 20th century with the introduction of roads, traffic design, and planning for automotive (Elsayed & Mohamed, 2020 c). To address the issues highlighted by the literature, here, we propose a practical framework for autonomous UAV integration in dense cities. The framework is flexible and robust to accommodate heterogeneous fleets of UAVs from various types and sizes (e.g., fixed-wing, quadcopters, and hexacopters) as well as operations under different civil aviation policies/regulations. The proposed framework mines and harnesses open source data and integrates UAV kinematics and trajectory planning, and airspace discretization to realize the seamless integration of autonomous UAVs in smart cities. The framework is proposed in three integrated sections: 1) data mining and fusion, 2) civil airspace discretization, and 3) system operability and integration. The proposed system is expected to solve both airspace planning and UAV control/navigation challenges while enhancing the social acceptance of UAV adoption through scenario-based analyses.


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References;
  • Pagination: 8p
  • Monograph Title: Canadian Transportation Research Forum 57th Annual Conference

Subject/Index Terms

Filing Info

  • Accession Number: 01890997
  • Record Type: Publication
  • Source Agency: Transportation Association of Canada (TAC)
  • Files: ITRD, TAC
  • Created Date: Aug 25 2023 9:18AM