Science AI Journal
Engineering · Research topic

Open research questions in Air Traffic Management and Optimization

44 unresolved questions extracted from the limitations and future-work sections of 298 Air Traffic Management and Optimization papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • There is a need for effective communication and coordination between all sections of air traffic management. The increasing demand and air traffic associated with the shift in passenger preferences towards air travel is increasing the workload of air traffic management.

    Air Traffic Control Coordination and Monitoring: A Review of European Practices · 2026 · DOI

  • There is a critical analytical void regarding airports operating under chronic instability or active conflict. There is a lack of facility-level, empirical data showing how an airport's pre-conflict digital flaws dictate the speed and severity of its post-conflict operational collapse.

    Cyber-Resilience in Fragile States: A Retrospective Baseline Analysis of Systemic Vulnerabilities at Khartoum International Airport · 2026 · DOI

  • The heterogeneity of GA missions creates diverse operational contexts and a growing volume of safety data. The paper identifies the need for computationally efficient and accurate safety analysis.

    Improving aviation safety analysis: Automated HFACS classification using reinforcement learning with group relative policy optimization · 2026 · DOI

  • Further research is needed to develop and test the 'Resilience by Necessity' framework in other critical infrastructure in fragile states. Studies should investigate the effectiveness of proactive cybersecurity measures in mitigating the risk of cyber-physical disruptions in airports operating under chronic instability or active conflict.

    Cyber-Resilience in Fragile States: A Retrospective Baseline Analysis of Systemic Vulnerabilities at Khartoum International Airport · 2026 · DOI

  • Unpredictable passenger demand. Mismatches between supply and demand. The need for efficient resource allocation in airline operations.

    Supply-Demand Matching Estimation with Machine Learning in Airline Planning Process · 2026 · DOI

  • Regional modeling approaches for visibility prediction are mentioned, but the scalability and computational efficiency of deploying multiple machine learning models simultaneously across a network of airports (e.g., regional aviation hub with 5-10 airports) with sub-hourly update requirements remains unspecified.

    Nowcasting of Airport Low Visibility Based on Machine Learning · 2026 · DOI

  • References to SHAP value-based feature importance analysis for meteorological nowcasting exist, but there is no concrete assessment of which meteorological variables are most critical for airport low visibility prediction at different lead times (0-6 hours) or how variable importance changes seasonally for different airport locations.

    Nowcasting of Airport Low Visibility Based on Machine Learning · 2026 · DOI

  • The hybrid model's soft-voting ensemble achieves 91.5% accuracy on the static dataset, but cross-airport and cross-airline generalization has not been validated. The XGBoost-ANN combination should be tested on geographic regions and airline carriers not represented in the training data to assess domain adaptation for flight delay prediction.

    Smart Prediction of Weather-Induced Flight Delays Applying Deep Learning · 2026 · DOI

  • The system is deployed locally with SQLite and Flask but lacks cloud scalability testing. Deployment on AWS or Azure infrastructure with containerization (Docker/Kubernetes) should be evaluated to assess performance of the hybrid XGBoost-ANN model under high-throughput real-time flight delay prediction workloads.

    Smart Prediction of Weather-Induced Flight Delays Applying Deep Learning · 2026 · DOI

  • The problem is NP-hard. The environment is hostile and high-risk. The study needs to balance mission rewards and UAV losses.

    A Stochastic Multi-objective Optimization Approach to Cooperative Task and Route Planning for Heterogeneous UAVs in Uncertain Combat Environments · 2026 · DOI

  • Future research can focus on extending the study to more complex scenarios. Future research can focus on comparing the proposed approach with other optimization methods. Future research can focus on applying the study to real-world scenarios.

    A Stochastic Multi-objective Optimization Approach to Cooperative Task and Route Planning for Heterogeneous UAVs in Uncertain Combat Environments · 2026 · DOI

  • The lack of strategic adoption and regulatory compatibility in the implementation of AI in aviation management. The need for a systematic review of the current literature on the application of AI in aviation management.

    Digital Transformation and Artificial Intelligence in Aviation Management: A Systematic Review of Emerging Trends and Business Implications · 2026 · DOI

  • Future research should focus on methods to integrate diverse data sources and facilitate a robust information exchange among various aviation systems. It should be investigated by training programs, skills development programs, and organization change programs to facilitate this transition. Another significant weakness of the existing literature is that ethical considerations are also an important limitation.

    Digital Transformation and Artificial Intelligence in Aviation Management: A Systematic Review of Emerging Trends and Business Implications · 2026 · DOI

  • Traditional methods using HFACS are limited by scalability and consistency. The paper identifies the need for computationally efficient and accurate safety analysis.

    Improving aviation safety analysis: Automated HFACS classification using reinforcement learning with group relative policy optimization · 2026 · DOI

  • To address the industry pain points of insufficient research on flight allocation optimization for airport baggage sorting resources and low solving efficiency for large-scale problems, a bi-objective mixed-integer programming model was constructed to minimize resource occupation and total idle time.

    Modeling and algorithm solution of resource allocation for airport baggage handling system · 2026 · DOI

  • Increasing academic studies on smart airport applications in Türkiye would contribute to addressing regional research gaps in the existing literature.

    The Impact of 5G Technology on the Aviation Industry · 2026 · DOI

  • Limited empirical evidence regarding the direct impact of digitalization on operational efficiency within airport processes. Geographical concentration of existing studies. Lack of interdisciplinary perspective in the current body of research.

    The Impact of 5G Technology on the Aviation Industry · 2026 · DOI

  • Extended field validation using real checkpoint data is recommended. Further research on the impact of passenger preparation on checkpoint performance is needed.

    Analysis of the impact of passenger preparation on the throughput of security screening at airport checkpoints · 2026 · DOI

  • The study is limited to a specific group of 18 experts. The research is based on a literature review and expert evaluations, without empirical data.

    Hava Taşımacılığında Uçak Gecikme Nedenlerinin Çok Kriterli Karar Verme Yöntemleriyle Önceliklendirilmesi: Vikor ve Copras Yaklaşımı · 2026 · DOI

  • Further research can be conducted to validate the proposed evaluation model using empirical data. The study's findings can be applied to other industries with similar complex systems. Future research can explore the use of other multi-criteria decision-making methods in evaluating flight delay factors.

    Hava Taşımacılığında Uçak Gecikme Nedenlerinin Çok Kriterli Karar Verme Yöntemleriyle Önceliklendirilmesi: Vikor ve Copras Yaklaşımı · 2026 · DOI

  • Further research of the potential benefits of proactive planning of high-performance aircraft training operations in flexible airspace structures for pollution reduction is focused on the peculiarities of potential shifting of flight slots as a response to local variation of civil traffic demand.

    Benefits of Proactive Planning of High-Performance Aircraft Training Operations in Flexible Airspace Structures for Pollution Reduction · 2026 · DOI

  • Future extensions of the model could include explicit emission calculations to further strengthen the contribution to sustainability. The application of the proposed framework to other industries with similar challenges.

    Supply-Demand Matching Estimation with Machine Learning in Airline Planning Process · 2026 · DOI

  • The paper does not provide a comprehensive comparison with other methods. The computational experiments are limited to a specific dataset. The paper does not discuss the scalability of the proposed method.

    A Benders and column generation method to the integrated airline schedule and aircraft recovery with gate reassignment · 2026 · DOI

  • To extend the proposed method to consider other recovery phases, such as crew recovery and passenger recovery. To evaluate the effectiveness of the proposed method in a real-world setting. To develop more efficient algorithms to solve the integrated problem.

    A Benders and column generation method to the integrated airline schedule and aircraft recovery with gate reassignment · 2026 · DOI

  • The takeoff-speed prediction problem has not been addressed using deep learning techniques. There is a need for accurate prediction of takeoff speed to improve flight safety.

    Aircraft takeoff speed prediction with deep learning: a comparative study of MLP, 1D-CNN, LSTM and attention-based architectures on Boeing 737-300 data · 2026 · DOI

Most-cited papers in Air Traffic Management and Optimization

Most recent work

Find a gap in your own Air Traffic Management and Optimization sub-topic

This page shows what the Air Traffic Management and Optimization literature already flags as unresolved. To narrow it to your specific question, run the guided finder — it searches the gap library on demand and checks candidates against 250M+ OpenAlex works.

Open the Research Gap Finder →

Related topics in Engineering

Traffic and Road Safety
237 open questions
Concrete and Cement Materials Research
196 open questions
Digital Transformation in Industry
190 open questions
Design Education and Practice
167 open questions
Machine Fault Diagnosis Techniques
165 open questions
Smart Cities and Technologies
152 open questions
Spatial Cognition and Navigation
149 open questions
BIM and Construction Integration
145 open questions
44 open questions have been extracted from the limitations and future-work passages of 298 Air Traffic Management and Optimization papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

Tools for your next paper

Gaps & Literature SearchFind open questions in any field — 120,000+ open gaps mined from our own library.Pre-CheckIs your paper ready? A Tier 1–5 acceptance probability in seconds.Journal FinderA ranked shortlist of target journals from a 17,500-venue index.Duplicate Publication CheckerCheck prior-publication & salami-slicing risk across 8 sources.Citation GeneratorFreeA DOI or title → APA, MLA, Vancouver, Chicago, BibTeX, RIS. No signup.Graphical Abstract MakerFreeTurn your findings into a colorblind-safe graphical abstract.

Compare the category — Honest roundups of the AI research tools, ours listed alongside the alternatives.

Command palette

Jump anywhere, run any action.