A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory

A Degas, MR Islam, C Hurter, S Barua, H Rahman… - Applied Sciences, 2022 - mdpi.com
Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …

The aircraft runway scheduling problem: A survey

S Ikli, C Mancel, M Mongeau, X Olive… - Computers & Operations …, 2021 - Elsevier
The aircraft scheduling problem consists in sequencing aircraft on airport runways and in
scheduling their times of operations taking into consideration several operational …

Evolutionary computation for intelligent transportation in smart cities: A survey

ZG Chen, ZH Zhan, S Kwong… - IEEE Computational …, 2022 - ieeexplore.ieee.org
As the population in cities continues to increase, large-city problems, including traffic
congestion and environmental pollution, have become increasingly serious. The …

A subway train timetable optimization approach based on energy-efficient operation strategy

S Su, X Li, T Tang, Z Gao - IEEE transactions on intelligent …, 2013 - ieeexplore.ieee.org
Given rising energy prices and environmental concerns, train energy-efficient operation
techniques are paid more attention as one of the effective methods to reduce operation costs …

Multiple populations for multiple objectives: A coevolutionary technique for solving multiobjective optimization problems

ZH Zhan, J Li, J Cao, J Zhang… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Traditional multiobjective evolutionary algorithms (MOEAs) consider multiple objectives as a
whole when solving multiobjective optimization problems (MOPs). However, this …

A cooperative scheduling model for timetable optimization in subway systems

X Yang, X Li, Z Gao, H Wang… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
In subway systems, the energy put into accelerating trains can be reconverted into electric
energy by using the motors as generators during the braking phase. In general, except for a …

A multi-objective ant colony system algorithm for airline crew rostering problem with fairness and satisfaction

SZ Zhou, ZH Zhan, ZG Chen, S Kwong… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The airline crew rostering problem (CRP) is significant for balancing the workload of crew
and for improving the satisfaction rate of crew's preferences, which is related to the fairness …

A two-objective timetable optimization model in subway systems

X Yang, B Ning, X Li, T Tang - IEEE Transactions on Intelligent …, 2014 - ieeexplore.ieee.org
The train timetable optimization problem in subway systems is to determine arrival and
departure times for trains at stations so that the resources can be effectively utilized and the …

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 …

Robust aircraft sequencing and scheduling problem with arrival/departure delay using the min-max regret approach

KKH Ng, CKM Lee, FTS Chan, Y Qin - Transportation Research Part E …, 2017 - Elsevier
This study considers the aircraft sequencing and scheduling problem under the uncertainty
of arrival and departure delays for multiple heterogeneous mixed-mode parallel runways. To …