- Vehicle Routing Optimization Methods
- Aviation Industry Analysis and Trends
- Air Traffic Management and Optimization
- Maritime Ports and Logistics
- Advanced Manufacturing and Logistics Optimization
- Evaluation and Optimization Models
- Maritime Transport Emissions and Efficiency
- Supply Chain and Inventory Management
- Opinion Dynamics and Social Influence
- Robotic Path Planning Algorithms
- Complex Network Analysis Techniques
- Optimization and Packing Problems
- Transportation Planning and Optimization
- Aerospace and Aviation Technology
- Evaluation Methods in Various Fields
- Metaheuristic Optimization Algorithms Research
- Scheduling and Optimization Algorithms
- Transportation and Mobility Innovations
- Consumer Market Behavior and Pricing
- Urban and Freight Transport Logistics
- Maritime Navigation and Safety
- Advanced Queuing Theory Analysis
- Industrial Technology and Control Systems
- Law, logistics, and international trade
- Forecasting Techniques and Applications
Nanjing University of Aeronautics and Astronautics
2015-2025
Shanghai Maritime University
2006-2014
Shanghai Jiao Tong University
2004-2010
École Nationale des Greffes
2005
Airport slot allocation is a key short-term solution to address airport capacity constraints, and it has long been focus of research in the field air traffic management. The existing studies primarily consider constraints such as flight operations, optimizing arrival departure flights maximize utilization resources. This study proposes an airline fairness index based on demand-side value system addresses problem by developing tri-objective model. model simultaneously considers maximum...
This study develops an MTSP model for multi-UAV delivery optimization from a central hub, proposing hybrid algorithm that integrates genetic simulated annealing-enhanced clustering with improved Hopfield neural network to minimize the total flight distance. The proposed methodology initially employs enhanced fuzzy C-means technique integrated annealing (GSA) effectively partition formulation into multiple discrete traveling salesman problem (TSP) instances. subsequent phase implements (HNN)...
This study introduces a decision support framework that integrates aircraft trajectory optimization and arrival scheduling to facilitate efficient management of descent operations for arriving within terminal maneuvering areas. The comprises three modules designed tackle specific challenges in the process. first module formulates solves problem, generating range candidate trajectories each aircraft. options include step-down operation, Continuous Descent Operation (CDO), CDO with lateral...
The Multiple Airports System (MAS) has been the topic of an increasing number studies over recent years in spatial and network analysis. However, there is relatively limited literature on MAS perspective logistics. This paper proposes concept Multi-Airport Logistics (MLS) by reviewing related comparing performance cargo passengers transport U.S. MASs. Under MLS, boundary populations MLS are discussed utilizing case U.S., especially Northeast MLS. Compared with existing studies, focus...
In the real world, an airline schedule does not operate as planned. It is often disrupted by maintenance problems or severe weather conditions. a typical day several flights may be delayed cancelled, and aircraft crews miss rest of their assigned flight. Airline coordinators have to find minimal cost reassignment that satisfies all required safety rules, has little impact on passengers, minimizes operational difficulties for airline. So, there more research in this area. This paper provides...
This paper studies a dynamic air ticket pricing problem in strategic and myopic passengers co-existence market. The or can be further divided into high-valuation low-valuation groups according to how they evaluate their purchases. have different levels. When the airline sets price, every passenger makes his her purchase decision type level, might select “wait” “leave (the market)”. firstly proposes algorithm which utilities of both are considered. reinforcement learning (RL) is employed deal...
The air transport system can be considered to a complex network with airports as vertices and direct flights edges. Research in this area contributes the optimisation of airline sustainable development transportation. This study chose Air China an example discover dynamics topologically. Serving critical agent social economic connections between cities, structure evolves over time. However, maintains its multicentric hierarchical forms mature point-to-point codeshare partners. research also...
For the standard whale optimization algorithm cannot directly solve multiple travelling salesmen problem(MTSP), this paper proposes a discrete hybrid (DWOHA) . A small amount of ant colony is used to provide some elite individuals for initial population reduce number global searches. Propose principal and subordinate chromosome coding method with smaller solution space complexity improve efficiency optimization. Redefine operation rules apply characteristics MTSP based on whale's unique...
Community detection in a complex network is an ongoing field. While the air transport has gradually formed as system, topological and geographical characteristics of airline networks have become crucial understanding dynamics airports’ roles. This research tackles highly interconnected parts weighted codeshare networks. A dataset comprising ten major international airlines selected to conduct comparative analysis. The result confirms that clique percolation method can be used conjunction...
Disruptions caused by severe weather conditions, congestion at airports, air traffic control and mechanical failures can result in breakdown of planned schedule. To cope with these disruptions, the airline should recover from its disrupted The recovery includes aircrafts, crew passengers recovery. We propose a method modeling to this problem. transforms problem into vehicle routing time window, formulation considering aircrafts' rerouting passengers' delivery is presented. Based on model we...
<title>Abstract</title> For solving dynamic arrival flights sequencing problem, a Modified Whale Optimization Algorithm (MWOA) is proposed. The method can avoid WOA’s disadvantage in several aspects, such as local optimum stuck and solution accuracy degradation. To balance the exploration exploitation abilities, nonlinear strategy based on Branin function for updating control parameter given. Chaotic mutation sine applied to its falling into optimum. Mirror selection adopted iteration...
Mathematical programming models of airline seat inventory control tend to protect more seats for the high fare class. In order further study properties booking policy based on mathematical models, we propose deterministic and stochastic that incorporate passenger choice behavior develop efficient genetic algorithm(GA) solve model. experiments, make an evaluation between decision rules traditional EMSR EMSRb in three aspects: percentage demand diversion, number classes level. The results show...
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Arrival flight sequencing optimization is an effective method to improve the landing efficiency of incoming flights and reduce delays. Based on this, with goal maximizing efficiency, combined multi-runway multi-route selection, considering actual waypoint restrictions, a mixed integer programming model for multi-path integrated arrival proposed. In order solve real-time problem large-scale calculation, multi-waypoint rolling horizon control algorithm The terminal area Guangzhou Baiyun...
Complex networks have encouraged scholars to develop an effective method for abstracting and optimizing aviation networks. However, researchers often overlook the network’s temporal attribute treat it as a static network. Aviation strong characteristics dynamic connection cannot be realistically described by It is necessary more accurately represent these connections during operation of This study explored structures Chinese network (CATN) based on flight schedules actual operational time...