Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

A Hybrid Method for Predicting Traffic Congestion during Peak Hours in the Subway System of Shenzhen

8 references·2 citing·49 second hop

FromToDepth

this work references cited by second hop

References

2016Understanding commuting patterns using transit smart card data352 cited
2011Dynamic traffic assignment: model classifications and recent advances in travel choice principles82 cited
2012Public transport congestion costs: The case of the Paris subway75 cited
2018Alleviating road network congestion: Traffic pattern optimization using Markov chain traffic assignment37 cited
2014Prediction of Urban Road Congestion Using a Bayesian Network Approach23 cited
2016A model of two-destination choice in trip chains with GPS data21 cited
2016Data-driven Travel Demand Modelling and Agent-based Traffic Simulation in Amsterdam Urban Area21 cited
2015Improve urban passenger transport management by rationally forecasting traffic congestion probability16 cited

Cited by

2021A Method for Exploring and Analyzing Spatiotemporal Patterns of Traffic Congestion in Expressway Networks Based on Origin–Destination Data8 cited
2025The influences of built environment on ultra-peak for urban rail transit station passenger flows based on lasso-multiscale geographically weighted regression5 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work