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Unsupervised approach towards analysing the public transport bunching swings formation phenomenon

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References

2011Smart card data use in public transit: A literature review930 cited
2009A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons457 cited
1972Control Strategies for an Idealized Public Transportation System409 cited
2012A self-coördinating bus route to resist bus bunching239 cited
1964Maintaining a bus schedule180 cited
2015Bus Transit Service Reliability and Improvement Strategies: Integrating the Perspectives of Passengers and Transit Agencies in North America99 cited
2017A predictive-control framework to address bus bunching94 cited
2016Headway-based bus bunching prediction using transit smart card data80 cited
2016An online learning approach to eliminate Bus Bunching in real-time74 cited
2015A model of bus bunching under reliability-based passenger arrival patterns66 cited
2015Short-Term Prediction of Ridership on Public Transport with Smart Card Data65 cited
2014Incorporating service reliability in public transport design and performance requirements: International survey results and recommendations58 cited
2018Two-way-looking self-equalizing headway control for bus operations54 cited
2018Optimally combined headway and timetable reliable public transport system47 cited

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2010Identifying Causes of Performance Issues in Bus Schedule Adherence with Automatic Vehicle Location and Passenger Count Data44 cited

1978Modelling the Tendency of Buses to Form Pairs40 cited

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2023Holding times to maintain quasi-regular headways and reduce real-time bus bunching8 cited
2021Zero bunching solution for a local public transport system with multiple-origins bus operation6 cited
2022Bus Headways Analysis for Anomaly Detection3 cited
2024Unsupervised Learning for Public Transport Delay Pattern Analysis3 cited