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Deep Reinforcement Learning-Based Holding Control for Bus Bunching under Stochastic Travel Time and Demand

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2009A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons457 cited
2013Bus stop-skipping scheme with random travel time296 cited
2011Dynamic bus holding strategies for schedule reliability: Optimal linear control and performance analysis275 cited
2012How much can holding and/or limiting boarding improve transit performance?264 cited
2016Public transportation and sustainability: A review226 cited
2019Robust scheduling strategies of electric buses under stochastic traffic conditions205 cited
2005The Real–Time Stop–Skipping Problem198 cited
1964Maintaining a bus schedule180 cited
2017Modelling bus bunching and holding control with vehicle overtaking and distributed passenger boarding behaviour177 cited
2002Design and Implementation of Bus–Holding Control Strategies with Real-Time Information136 cited
2020Dynamic holding control to avoid bus bunching: A multi-agent deep reinforcement learning framework124 cited
2022The Impact of Public Transportation on Carbon Emissions—From the Perspective of Energy Consumption119 cited
2004A model for holding strategy in public transit systems with real-time information104 cited
2018Dynamic Bike Reposition96 cited

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2017

A predictive-control framework to address bus bunching

94 cited

2003Distributed architecture for real-time coordination of bus holding in transit networks88 cited

Cited by

2025Reinforcement Learning for Bus Bunching Mitigation: A Systematic Evaluation of Configurations and Performances5 cited