no code implementations • 28 Jul 2021 • Yuxin He, Lishuai Li, Xinting Zhu, Kwok Leung Tsui
Spatial dependencies, temporal dependencies, inter-station correlations driven by other latent factors, and exogenous factors bring challenges to the short-term forecasts of passenger flow of urban rail transit networks.
no code implementations • 10 Dec 2020 • Xinyu He, Fang He, Xinting Zhu, Lishuai Li
This paper presents a data-driven method involving use of the quick access recorder (QAR)-a digital flight-data recorder-installed on all aircrafts to record the initial aircraft climb mass during each flight.
no code implementations • 11 Nov 2020 • Yu Lin, Lishuai Li, Pan Ren, Yanjun Wang, W. Y. Szeto
In this study, we propose a new flight delay model, Multi-layer Air Traffic Network Delay (MATND) model, to capture the impact of en-route congestion on flight delays over an air traffic network.
no code implementations • 20 May 2020 • Weizun Zhao, Lishuai Li, Sameer Alam, Yanjun Wang
It trains an initial GMM model based on historical offlline data.
no code implementations • 12 May 2020 • Xinting Zhu, Lishuai Li
We also show that, with the improved flight time prediction, fuel loading can be optimized and resulting in reduced fuel consumption by 0. 016%-1. 915% without increasing the fuel depletion risk.