A review on flight delay prediction
A Sternberg, J Soares, D Carvalho… - arXiv preprint arXiv …, 2017 - arxiv.org
Flight delays hurt airlines, airports, and passengers. Their prediction is crucial during the
decision-making process for all players of commercial aviation. Moreover, the development …
decision-making process for all players of commercial aviation. Moreover, the development …
Intelligent service capacity allocation for cross-border-E-commerce related third-party-forwarding logistics operations: A deep learning approach
With the rise of “cross-border-e-commerce”, the third-party-forwarding-logistics (3PFL)
service becomes increasingly popular. Different from the traditional third-party-logistics …
service becomes increasingly popular. Different from the traditional third-party-logistics …
Flight delay prediction based on deep learning and Levenberg-Marquart algorithm
Flight delay is inevitable and it plays an important role in both profits and loss of the airlines.
An accurate estimation of flight delay is critical for airlines because the results can be …
An accurate estimation of flight delay is critical for airlines because the results can be …
Assessment of airport arrival congestion and delay: Prediction and reliability
Á Rodríguez-Sanz, FG Comendador, RA Valdés… - … Research Part C …, 2019 - Elsevier
Air traffic networks are highly dependent on airport arrival processes, which are common
triggers for capacity constraints and delay propagation. Arrival Manager tools aim to improve …
triggers for capacity constraints and delay propagation. Arrival Manager tools aim to improve …
Quantifying uncertainty in short-term traffic prediction and its application to optimal staffing plan development
In this paper, we aim to quantify uncertainty in short-term traffic volume prediction by
enhancing a hybrid machine learning model based on Particle Swarm Optimization (PSO) …
enhancing a hybrid machine learning model based on Particle Swarm Optimization (PSO) …
Youtube av 50k: an annotated corpus for comments in autonomous vehicles
Ahstract-With one billion monthly viewers, and millions of users discussing and sharing
opinions, comments below YouTube videos are rich sources of data for opinion mining and …
opinions, comments below YouTube videos are rich sources of data for opinion mining and …
Long short-term memory-based human-driven vehicle longitudinal trajectory prediction in a connected and autonomous vehicle environment
The advent of connected and autonomous vehicles (CAVs) will change driving behavior and
travel environment, and provide opportunities for safer, smoother, and smarter road …
travel environment, and provide opportunities for safer, smoother, and smarter road …
Efficient data collection and accurate travel time estimation in a connected vehicle environment via real-time compressive sensing
Connected vehicles (CVs) can capture and transmit detailed data such as vehicle position
and speed through vehicle-to-vehicle and vehicle-to-infrastructure communications. The …
and speed through vehicle-to-vehicle and vehicle-to-infrastructure communications. The …
Short-term prediction of border crossing time and traffic volume for commercial trucks: A case study for the Ambassador Bridge
M Moniruzzaman, H Maoh, W Anderson - Transportation Research Part C …, 2016 - Elsevier
Short-term forecasting of traffic characteristics, such as traffic flow, speed, travel time, and
queue length, has gained considerable attention from transportation researchers and …
queue length, has gained considerable attention from transportation researchers and …
Predicting waiting time overflow on bank teller queues
R Mourõo, R Carvalho, R Carvalho… - 2017 16th IEEE …, 2017 - ieeexplore.ieee.org
This study proposes a predictive model to detect the delay in bank teller queues. Since there
are penalties and fines applied to the branches that leave their clients waiting for a long …
are penalties and fines applied to the branches that leave their clients waiting for a long …