[HTML][HTML] Applications of stochastic modeling in air traffic management: Methods, challenges and opportunities for solving air traffic problems under uncertainty

R Shone, K Glazebrook, KG Zografos - European Journal of Operational …, 2021 - Elsevier
In this paper we provide a wide-ranging review of the literature on stochastic modeling
applications within aviation, with a particular focus on problems involving demand and …

[HTML][HTML] Airline disruption management: A literature review and practical challenges

LK Hassan, BF Santos, J Vink - Computers & Operations Research, 2021 - Elsevier
Airline disruption management is an active field of research. In recent years, there has been
an increase in publications, in particular, in of works integrating two or more resources (ie …

Towards efficient airline disruption recovery with reinforcement learning

Y Ding, S Wandelt, G Wu, Y Xu, X Sun - Transportation Research Part E …, 2023 - Elsevier
Disruptions to airline schedules precipitate flight delays/cancellations and significant losses
for airline operations. The goal of the integrated airline recovery problem is to develop an …

Airline crew scheduling: Models and algorithms

X Wen, X Sun, Y Sun, X Yue - Transportation research part E: logistics and …, 2021 - Elsevier
The airline crew scheduling problem has become a crucial but challenging task for
commercial airlines for decades. Airlines are operating with two types of air crew: cockpit …

Scheduling models for optimal aircraft traffic control at busy airports: tardiness, priorities, equity and violations considerations

M Sama, A D'Ariano, P D'Ariano, D Pacciarelli - Omega, 2017 - Elsevier
This work addresses the real-time optimization of take-off and landing operations at a busy
terminal control area in case of traffic congestion. Terminal areas are becoming the …

Autonomous truck scheduling for container transshipment between two seaport terminals considering platooning and speed optimization

S Chen, H Wang, Q Meng - Transportation Research Part B …, 2021 - Elsevier
This study proposes an autonomous truck (AT) based scheduling problem for container
transshipment between two seaport terminals, in which ATs can travel in platoons with short …

[HTML][HTML] Airline disruption management: A review of models and solution methods

Y Su, K Xie, H Wang, Z Liang, WA Chaovalitwongse… - Engineering, 2021 - Elsevier
The normal operation of aircraft and flights can be affected by various unpredictable factors,
such as severe weather, airport closure, and corrective maintenance, leading to disruption of …

Robust airline crew scheduling with flight flying time variability

X Wen, HL Ma, SH Chung, WA Khan - Transportation Research Part E …, 2020 - Elsevier
The crew pairing problem is one of the most important but challenging tasks for commercial
airlines. However, the operation environment of the aviation industry is highly volatile with …

Airline crew scheduling with sustainability enhancement by data analytics under circular economy

X Wen, SH Chung, HL Ma, WA Khan - Annals of Operations Research, 2024 - Springer
As an energy-intensive industry, it is critical for airlines to enhance operation sustainability
under the circular economy. Airline crew pairing problem is to construct job itineraries …

[HTML][HTML] The aircraft recovery problem: A systematic literature review

M Santana, J De La Vega, R Morabito… - EURO Journal on …, 2023 - Elsevier
Events that cause disruptions to air company flight schedules transporting passengers and
cargo are commonplace in practice, and their operational and financial consequences are …