Identification and prediction of urban airspace availability for emerging air mobility operations
Author:
- Mayara Condé Rocha MurçaMMMayara Condé Rocha Murça
- 1 October 2021
- journal article
- research article
- Published by Elsevier in Transportation Research Part C: Emerging Technologies
- Vol. 131
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- How to assess the capacity of urban airspace: A topological approach using keep-in and keep-out geofenceTransportation Research Part C: Emerging Technologies, 2018
- Enabling Airspace Integration for High-Density On-Demand Mobility Operations2017
- Strategic Air Traffic Planning with Fréchet Distance Aggregation and ReroutingJournal of Guidance, Control, and Dynamics, 2017
- Data-Driven Modeling and Prediction of the Process for Selecting Runway ConfigurationsTransportation Research Record: Journal of the Transportation Research Board, 2016
- Data-Driven Modeling of the Airport Configuration Selection ProcessIEEE Transactions on Human-Machine Systems, 2015
- Data-Based Modeling and Optimization of En Route TrafficJournal of Guidance, Control, and Dynamics, 2014
- Vision-Based Analysis of Small Groups in Pedestrian CrowdsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
- Trajectory Clustering and an Application to Airspace MonitoringIEEE Transactions on Intelligent Transportation Systems, 2011
- Probabilistic clustering of extratropical cyclones using regression mixture modelsClimate Dynamics, 2007
- A well-conditioned estimator for large-dimensional covariance matricesJournal of Multivariate Analysis, 2004