Review on meta-heuristics approaches for airside operation research

KKH Ng, CKM Lee, FTS Chan, Y Lv - Applied soft computing, 2018 - Elsevier
The number of publications related to airside operation research is increasing and gaining
in popularity. This paper aims to provide researchers with a comprehensive and extensive …

Improved support vector machine models for work zone crash injury severity prediction and analysis

S Mokhtarimousavi, JC Anderson… - Transportation …, 2019 - journals.sagepub.com
Work zones are a high priority issue in the field of road transportation because of their
impacts on traffic safety. A better understanding of work zone crashes can help to identify the …

How airports enhance the environmental sustainability of operations: A critical review from the perspective of Operations Research

S Chen, L Wu, KKH Ng, W Liu, K Wang - Transportation Research Part E …, 2024 - Elsevier
The escalating demand for air travel has significant environmental implications, such as air
pollution and noise nuisance, compelling airports to mitigate their negative impacts on the …

Machine learning approach for flight departure delay prediction and analysis

E Esmaeilzadeh… - Transportation Research …, 2020 - journals.sagepub.com
The expected growth in air travel demand and the positive correlation with the economic
factors highlight the significant contribution of the aviation community to the US economy. On …

Criteria selection and multi-objective optimization of aircraft landing problem

J Zhang, P Zhao, Y Zhang, X Dai, D Sui - Journal of Air Transport …, 2020 - Elsevier
Inspired by the similarities of the aircraft landing problem (ALP) and the single machine
scheduling problem, we propose a criteria selection method that has been used successfully …

Post-disaster temporary shelters distribution after a large-scale disaster: An integrated model

Z Gharib, R Tavakkoli-Moghaddam, A Bozorgi-Amiri… - Buildings, 2022 - mdpi.com
This paper develops an integrated model for the distribution of post-disaster temporary
shelters after a large-scale disaster. The proposed model clusters impacted areas using an …

A non-dominated sorting genetic algorithm approach for optimization of multi-objective airport gate assignment problem

S Mokhtarimousavi, D Talebi… - Transportation research …, 2018 - journals.sagepub.com
Gate assignment problems (GAP) are one of the most substantial issues in airport operation.
The ever-increasing demand producing high occupancy rates of gates, the potential …

Integrated optimization of stochastic resource scheduling and machine maintenance in prefabricated component production processes

J Wang, H Liu - Automation in Construction, 2023 - Elsevier
Effective resource scheduling and machine maintenance are two important interactive
factors to improve prefabricated component productions. However, previous studies focused …

A cluster-based emergency vehicle routing problem in disaster with reliability

Z Gharib, A Bozorgi-Amiri… - Scientia …, 2018 - scientiairanica.sharif.edu
In the event of natural disasters, relief distribution is the most challenging problem of
emergency transportation. What is important in response to disaster is victims' relief in …

A thorough review of aircraft landing operation from practical and theoretical standpoints at an airport which may include a single or multiple runways

MB Messaoud - Applied Soft Computing, 2021 - Elsevier
The organization of landing operation and related issues within an Air Traffic Control (ATC)
system in the airport Terminal Maneuvering Area (TMA) are hitherto performed by human air …