Joint apron-runway assignment for airport surface operations
S Yin, K Han, WY Ochieng, DR Sanchez - Transportation Research Part B …, 2022 - Elsevier
Airport surface operations, such as off-block control, taxi routing, and runway sequencing,
are typically confined to a fixed network topology with given origin–destination (OD) pairs for …
are typically confined to a fixed network topology with given origin–destination (OD) pairs for …
How airports enhance the environmental sustainability of operations: A critical review from the perspective of Operations Research
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 …
pollution and noise nuisance, compelling airports to mitigate their negative impacts on the …
[HTML][HTML] A fuzzy approach to addressing uncertainty in airport ground movement optimisation
Allocating efficient routes to taxiing aircraft, known as the Ground Movement problem, is
increasingly important as air traffic levels continue to increase. If taxiways cannot be reliably …
increasingly important as air traffic levels continue to increase. If taxiways cannot be reliably …
Marine traffic profile for enhancing situational awareness based on complex network theory
Abstract Enhancing Situation Awareness (SA) is essential for the safety of marine traffic.
Many indicators are developed to evaluate the status of the traffic and to facilitate SA of the …
Many indicators are developed to evaluate the status of the traffic and to facilitate SA of the …
Traffic flow modeling and feedback control for future low-altitude air city transport: An MFD-based approach
J Haddad, B Mirkin, K Assor - Transportation Research Part C: Emerging …, 2021 - Elsevier
The imminent penetration of low-altitude passenger and delivery aircraft into the urban
airspace will give rise to new urban air transport systems, which we call low-altitude air city …
airspace will give rise to new urban air transport systems, which we call low-altitude air city …
A deep reinforcement learning approach for airport departure metering under spatial–temporal airside interactions
Airport taxi delays adversely affect airports and airlines around the world leading to airside
congestion, increased Air Traffic Controllers/Pilot workload, and adverse environmental …
congestion, increased Air Traffic Controllers/Pilot workload, and adverse environmental …
Airport surface movement prediction and safety assessment with spatial–temporal graph convolutional neural network
X Zhang, S Zhong, S Mahadevan - Transportation research part C …, 2022 - Elsevier
Collisions during airport surface operations can create risk of injury to passengers, crew or
airport personnel and damage to aircraft and ground equipment. A machine learning model …
airport personnel and damage to aircraft and ground equipment. A machine learning model …
[HTML][HTML] A chance-constrained programming model for airport ground movement optimisation with taxi time uncertainties
Airport ground movement remains a major bottleneck for air traffic management. Existing
approaches have developed several routing allocation methods to address this problem, in …
approaches have developed several routing allocation methods to address this problem, in …
Empirical analysis of complex network for marine traffic situation
With the increasing activities in waters, the maritime management departments have a
strong demand on improving traffic service to enhance the safety of water transportation …
strong demand on improving traffic service to enhance the safety of water transportation …
A generative adversarial imitation learning approach for realistic aircraft taxi-speed modeling
Classical approaches for modelling aircraft taxi-speed assume constant speed or use a
turning rate function to approximate taxi-timings for taxiing aircraft. However, those …
turning rate function to approximate taxi-timings for taxiing aircraft. However, those …