Metro passenger flow control with station-to-station cooperation based on stop-skipping and boarding limiting
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Central South University"
DOI: 10.1007/s11771-017-3424-x
Abstract: Metro passenger flow control problem is studied under given total inbound demand in this work, which considers passenger demand control and train capacity supply. Relevant connotations are analyzed and a mathematical model is developed. The… read more here.
Keywords: station; passenger flow; flow control; metro passenger ... See more keywords
Short-to-medium Term Passenger Flow Forecasting for Metro Stations using a Hybrid Model
Sign Up to like & getrecommendations! Published in 2018 at "KSCE Journal of Civil Engineering"
DOI: 10.1007/s12205-017-1016-9
Abstract: Metro passenger flow forecasting is an essential component of intelligent transportation system. To enhance the forecasting accuracy and explainable of traditional models, a hybrid model combining symbolic regression and Autoregressive Integrated Moving Average Model (ARIMA)… read more here.
Keywords: passenger flow; model; flow forecasting; hybrid model ... See more keywords
Optimizing the release of passenger flow guidance information in urban rail transit network via agent-based simulation
Sign Up to like & getrecommendations! Published in 2019 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2019.02.003
Abstract: Abstract The passenger flow guidance is an effective demand management strategy to alleviate the excessive congestion in the urban rail transit network. In order to determine the scope and the timing, a simulation-based optimization model… read more here.
Keywords: guidance; passenger; simulation; guidance information ... See more keywords
Effective passenger flow forecasting using STL and ESN based on two improvement strategies
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.04.061
Abstract: Abstract Accurate passenger flow prediction is fairly challenging because of chaotic nature of transportation system and influence mechanism originated from multiple factors. It has been found that passenger flow has a nonlinear characteristic and a… read more here.
Keywords: stl; flow forecasting; effective passenger; passenger ... See more keywords
Integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network: A space-time-state hyper network-based assignment approach
Sign Up to like & getrecommendations! Published in 2019 at "Transportation Research Part B: Methodological"
DOI: 10.1016/j.trb.2018.12.015
Abstract: Abstract In this study, we focus on one of practically important research problems of integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network. The task is accomplished by… read more here.
Keywords: time; state; passenger; network ... See more keywords
Passenger flow forecast for customized bus based on time series fuzzy clustering algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Interaction Studies"
DOI: 10.1075/is.18040.li
Abstract: Customized bus services are conducive to improving urban traffic and environment, and have attracted widespread attention. However, the problems encountered in the new customized bus mode include the large difference between the basis of customized… read more here.
Keywords: customized bus; bus passenger; bus; passenger flow ... See more keywords
Multi-featured spatial-temporal and dynamic multi-graph convolutional network for metro passenger flow prediction
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2061915
Abstract: Metro passenger flow prediction is an essential part of crowd flow forecasting and intelligent transportation management systems. However, two challenges still need to be addressed to achieve a more accurate prediction: (1) accounting for featural… read more here.
Keywords: flow; multi; graph; prediction ... See more keywords
Forecasting Subway Passenger Flow for Station-Level Service Supply.
Sign Up to like & getrecommendations! Published in 2022 at "Big data"
DOI: 10.1089/big.2021.0318
Abstract: Demand forecasting is one of the managers' concerns in service supply chain management. With accurate passenger flow forecasting, the station-level service suppliers can make better service plans accordingly. However, the existing forecasting model cannot identify… read more here.
Keywords: passenger; station level; service; subway passenger ... See more keywords
A Data-Driven-Based Wavelet Support Vector Approach for Passenger Flow Forecasting of the Metropolitan Hub
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2890819
Abstract: With the rapid development of the construction and operation of mass transit hubs, passenger data collection, modeling, and prediction for optimal control have become very important. In this paper, pedestrian facilities are abstracted into connected… read more here.
Keywords: wavelet support; support vector; passenger; flow ... See more keywords
Railway Passenger Flow Recognition Algorithm for Terminal Station Based on Cost Theory and Automatic Frequency Control
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2968721
Abstract: Passenger flow recognition is the basis of railway passenger terminal station and railway operation department for daily management, it has an important significance for the adjustment of the operation plan, the choice of the passenger… read more here.
Keywords: passenger; flow recognition; railway; passenger flow ... See more keywords
Sign Optimization Model for Rail Transit: A Big Data Approach
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2989358
Abstract: The subway station has a large passenger flow and strong mobility, and subway-oriented signs have become the necessary core support for the subway system. The paper first takes the complaint data of Beijing Metro as… read more here.
Keywords: optimization; model; sign; optimization model ... See more keywords