Results 121 to 130 of about 3,215,253 (309)

Machine learning approach for study on subway passenger flow. [PDF]

Sci Rep, 2022
Park Y, Choi Y, Kim K, Yoo JK.
europepmc   +1 more source

Passenger flow prediction : Finding and developing a sustainable machine learning model for airport passenger flow prediction

, 2023
There are many outdated routines and processes in today's aviation industry that major airlines lack the motivation to update. While this may not hold any direct security concerns, it creates bottlenecks at checks and high salary costs for otiose airport personnel. This study aims to together with the company Objective Solutions examine the possibility
Haglund, Tomas, Jonsson, Oskar
openaire   +1 more source

Improving regional passenger rail services [PDF]

, 2014
This report reviews the options available for upgrading existing passenger train services, drawing from local and international case studies to inform the conclusions.

core  

Inbound passenger flow on Friday.

, 2019
Inbound passenger flow on Friday.
Quanchao Chen (7372619), Di Wen (313779), Peng Gao (35465), Jie Zhang (64655), Hongxia Lv (7372628), Dingjun Chen (7372625), Xuqiang Li (7372622)   +6 more
core   +1 more source

String‐Stable Platooning Control of Connected Automated Vehicles Under Non‐Uniform Stochastic Communication Delays

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper is concerned with the platooning control problem of connected automated vehicles (CAVs) under non‐uniform stochastic vehicle‐to‐vehicle (V2V) communication delays. Most existing relevant studies assume uniform or deterministic or slowly varying delays, or design platoon controllers based on worst‐case delay bounds, resulting in ...
Dengfeng Pan, Xiaohua Ge, Derui Ding, Xian‐Ming Zhang   +3 more
wiley   +1 more source

A Spatiotemporal Convolutional Neural Network Model Based on Dual Attention Mechanism for Passenger Flow Prediction

Mathematics
Establishing a high-precision passenger flow prediction model is a critical and complex task for the optimization of urban rail transit systems. With the development of artificial intelligence technology, the data-driven technology has been widely ...
Jinlong Li, Haoran Chen, Qiuzi Lu, Xi Wang, Haifeng Song, Lunming Qin   +5 more
doaj   +1 more source

Passenger flow analysis and emergency response simulation in a metro network using virus transmission model. [PDF]

J Transp Health, 2023
Zhou Y, Zheng S, Feng F, Chen Y.
europepmc   +1 more source

Modification of the Madeira River morphology following large hydropower projects detected by satellite data

River, EarlyView.
Abstract Estimating suspended sediment concentration (SSC) in river channels is essential for understanding hydro‐sedimentological processes, managing water quality, and conserving aquatic ecosystems. This study evaluated different empirical equations to estimate SSC in the lower Madeira River and analyzed its hydro‐sedimentary dynamics based on MODIS ...
Matheus Silveira de Queiroz, Rogério Ribeiro Marinho, Paulo Rodrigo Zanin, Andre Luis Martinelli Real dos Santos, Jean‐Michel Martinez, Naziano Pantoja Filizola Junior   +5 more
wiley   +1 more source

Analyzing multiple COVID-19 outbreak impacts: A case study based on Chinese national air passenger flow. [PDF]

Transp Res Part A Policy Pract, 2023
Wang J, Zhang Z, Lu G, Yu B, Zhan C, Cai J.   +5 more
europepmc   +1 more source

Shunting of Passenger Train Units: an Integrated Approach [PDF]

In this paper, we describe a new model for the Train Unit Shunting Problem. This model is capable of solving the matching and parking subproblems in an integrated manner, usually requiring a reasonable amount of computation time for generating acceptable
Schrijver, A., Kroon, L.G., Lentink, R.M.   +2 more
core