A5103016442- Air Traffic Management and Optimization
- Aviation Industry Analysis and Trends
- Transportation Planning and Optimization
- Traffic control and management
- Vehicle Routing Optimization Methods
- Evaluation and Optimization Models
- Innovative Energy Harvesting Technologies
- Internet of Things and Social Network Interactions
- Control Systems and Identification
- Risk and Safety Analysis
- Technology Assessment and Management
- Innovation Policy and R&D
- Rock Mechanics and Modeling
- Traffic Prediction and Management Techniques
- Aeroelasticity and Vibration Control
- Real-time simulation and control systems
- Maritime Ports and Logistics
- Aerospace and Aviation Technology
- Hydraulic Fracturing and Reservoir Analysis
- Evaluation Methods in Various Fields
- Vehicle emissions and performance
- Oil and Gas Production Techniques
- Advanced Thermoelectric Materials and Devices
- Human-Automation Interaction and Safety
- Hydraulic and Pneumatic Systems
Nanjing University of Aeronautics and Astronautics
2010-2024
Civil Aviation Flight University of China
2012
Universidad Blas Pascal
2008
Flight data of a twin-jet transport aircraft in revenue flight are analyzed for potential safety problems. Data from the quick access recorder (QAR) first filtered through kinematic compatibility analysis. The then organized into longitudinal- and lateral-directional aerodynamic model with dynamic ground effect. effect requires radio height sink rate models. refined numerical models fuzzy logic algorithm without smoothing advance. These describe nonlinear unsteady aerodynamics used dynamics...
The Airport Gate Assignment Problem (AGAP) deals with assigning a set of aircraft to the gates at airports respect several operational and commercial constraints. In this study, we model AGAP as multi-objective optimization problem that minimizes taxiing costs passenger walking distance. An additional consideration is taken regarding fairness assignment among different airlines. To solve problem, propose NSGA-II-LNS algorithm which builds upon NSGA-II framework incorporates advantages Large...
In order to make full use of the slot runway, reduce flight delay, and ensure fairness among airlines, a schedule optimization model for arrival-departure flights is established in paper. The total delay cost airlines are two objective functions. ant colony algorithm adopted solve this problem result more efficient reasonable when compared with FCFS (first come first served) strategy. Optimization results show that fair deviation decreased by 42.22% 38.64%, respectively. Therefore, makes...
To guarantee the operation safety of airport, improve efficiency surface operation, and enhance fairness taxiing route scheduling, an optimizing model is established for airport scheduling. Reducing total aircraft length reducing waiting delay time are goals by controlling initial choosing right route. The can continuous all without conflicts. runway scheduling taken into consideration in to optimize operation. improved genetic algorithm designed simulation validation. results show that...
Large hub airports have gradually become the “bottleneck” of air transport network. To alleviate effect, optimizing taxi scheduling is one solutions. This paper establishes a optimization model by introducing priority aircraft under collaborative decision-making mechanism, and genetic algorithm designed to verify simulating. Optimization results show that reliability adjusted high efficiency. The taxiing time decreases 2.26% when compared with an empirical method flights higher priorities...
Currently, the surface topology at large domestic airports with increasing traffic flow is becoming more complex. Taxiing conflicts grow as well. This paper proposed a strategy based on aircraft priority to solve problem. Under premise of ensuring priority, this resolved problem reasonably and improved safety efficiency airport operation. With purpose minimizing time cost all aircraft, an taxiing model was built. Simulation results showed advantages strategy. Compared common conflict...
It has been a main concern for governments to reduce the carbon emission of aviation industry. The paper proposes multiobjective gate assignment model that considers at airport surface facilitate environmental-friendly construction. Three objectives are considered in emissions, including proportion flights assigned contact gate, aircraft taxiing fuel consumption, and robustness. In order achieve better performance on all objectives, Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is...
To enhance the robustness of gate assignment, reduce possibility flight conflict, and improve quality passenger services, a multi-objective assignment model is proposed by minimizing conflict probability number flights assigned to aprons. The biogeography-based optimization algorithm used solve with new method for estimating probability. simulation results show that ratio interval time two same between 60 120 min as high 82% when rate aprons controlled below 0.4. This means increases...
To avoid the airport congestion and reduce flight delays, paper studied traffic balance from a system perspective at strategic level. By considering single-airport approach departure as well correlation between multi-airport connecting flights, proposed network on flow which is open has direction in multi-airport; set up assignment model was based constraint capacity multiple flights minimized total delay of all within target. The simulated combined three major airports’ actual data...