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A Novel Bus-Dispatching Model Based on Passenger Flow and Arrival Time Prediction

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References

2012Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile528 cited
2002Dynamic Bus Arrival Time Prediction with Artificial Neural Networks359 cited
2011Dynamic bus holding strategies for schedule reliability: Optimal linear control and performance analysis275 cited
2008Neural network based temporal feature models for short-term railway passenger demand forecasting211 cited
2014Vehicle Scheduling of an Urban Bus Line via an Improved Multiobjective Genetic Algorithm151 cited
2015A real-time bus dispatching policy to minimize passenger wait on a high frequency route137 cited
1999Automated Bus Dispatching, Operations Control, and Service Reliability: Baseline Analysis134 cited
2017A Real-Time Passenger Flow Estimation and Prediction Method for Urban Bus Transit Systems130 cited
2019A New Framework of Intelligent Public Transportation System Based on the Internet of Things85 cited

Cited by

2020A multiobjective single bus corridor scheduling using machine learning-based predictive models38 cited
2022Travel time prediction of urban public transportation based on detection of single routes26 cited
2020A Multi-Objective Bus Rapid Transit Energy Saving Dispatching Optimization Considering Multiple Types of Vehicles25 cited
2021A Joint Passenger Flow Inference and Path Recommender System for Deploying New Routes and Stations of Mass Transit Transportation

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10 cited

2022Estimating Passenger Queue for Bus Resource Optimization Using LoRaWAN-Enabled Ultrasonic Sensors8 cited

2023The Optimization of Bus Departure Time Based on Uncertainty Theory—Taking No. 207 Bus Line of Nanchang City, China, as an Example8 cited

2022A novel bus scheduling model based on passenger flow and bus travel time prediction using the improved cuckoo search algorithm7 cited

2020Simulation-Based Sensitivity Analysis for Evaluating Factors Affecting Bus Service Reliability: A Big and Smart Data Implementation6 cited