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Bus Information Service: Optimal Arrival Time Release Considering En Route Behaviour

https://doi.org/10.2139/ssrn.5139665
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Dynamic Vulnerability Analysis of Public Transport Networks: Mitigation Effects of Real-Time Information
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Predicting irregularities in arrival times for transit buses with recurrent neural networks using GPS coordinates and weather data
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A multi-pattern deep fusion model for short-term bus passenger flow forecasting
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Multi-output bus travel time prediction with convolutional LSTM neural network
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Exploring spatial variation of the bus stop influence zone with multi-source data: A case study in Zhenjiang, China
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Short-term forecasts on individual accessibility in bus system based on neural network model
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Predicting bus travel time using machine learning methods with three-layer architecture
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A hybrid algorithm for Urban transit schedule optimization
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A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons
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Ridership effects of real-time bus information system: A case study in the City of Chicago
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Bus dwell time estimation at bus bays: A probabilistic approach
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The impact of real-time information on bus ridership in New York City
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Headway-based bus bunching prediction using transit smart card data
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Metro disruption management: Optimal initiation time of substitute bus services under uncertain system recovery time
inferredcites →https://doi.org/10.1016/j.trc.2021.103273openalex-snapshot
Estimating the route-level passenger demand profile from bus dwell times
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A prediction model of bus arrival time at stops with multi-routes
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Bus travel time variability: some experimental evidences
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How derived is the demand for travel? Some conceptual and measurement considerations
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The role of information in decision-making with regard to travel
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Lag‐related noise shrinkage stacked LSTM network for short‐term traffic flow forecasting
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Modeling Transit Trip Time Using Archived Bus Dispatch System Data
inferredcites →https://doi.org/10.1061/(asce)te.1943-5436.0000312openalex-snapshot
Bus-Arrival-Time Prediction Models: Link-Based and Section-Based
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Walking Tourist: Review of Research to Date
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Bus dwell time: the effect of different fare collection systems, bus floor level and age of passengers
inferredcites →https://doi.org/10.1109/access.2019.2932801openalex-snapshot
A Novel Bus-Dispatching Model Based on Passenger Flow and Arrival Time Prediction
inferredcites →https://doi.org/10.1109/access.2020.2965094openalex-snapshot
Bus Arrival Time Prediction Based on LSTM and Spatial-Temporal Feature Vector
inferredcites →https://doi.org/10.1109/access.2020.2976574openalex-snapshot
A Bus Arrival Time Prediction Method Based on Position Calibration and LSTM
inferredcites →https://doi.org/10.1109/mits.2020.2990175openalex-snapshot
Bus Travel Time Prediction Based on Ensemble Learning Methods
inferredcites →https://doi.org/10.1109/tits.2017.2686877openalex-snapshot
A Real-Time Passenger Flow Estimation and Prediction Method for Urban Bus Transit Systems
inferredcites →https://doi.org/10.1109/tits.2018.2873747openalex-snapshot
Learning to Predict Bus Arrival Time From Heterogeneous Measurements via Recurrent Neural Network
inferredcites →https://doi.org/10.1109/tits.2019.2900481openalex-snapshot
Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction
inferredcites →https://doi.org/10.1109/tits.2023.3238289openalex-snapshot
Transit Arrival Time Prediction Using Interaction Networks
inferredcites →https://doi.org/10.1111/mice.12315openalex-snapshot
Prediction of Bus Travel Time Using Random Forests Based on Near Neighbors
inferredcites →https://doi.org/10.1155/2020/9635853openalex-snapshot
Influence of Mobile Payment on Bus Boarding Service Time
inferredcites →https://doi.org/10.1155/2022/7094654openalex-snapshot
Analysis on the Bus Arrival Time Prediction Model for Human-Centric Services Using Data Mining Techniques
inferredcites →https://doi.org/10.11648/j.ijse.20180201.15openalex-snapshot
Application of Support Vector Machine in Bus Travel Time Prediction
inferredcites →https://doi.org/10.1177/0361198118791365openalex-snapshot
Evaluation of Clustering Algorithms for the Prediction of Trends in Bus Travel Time
inferredcites →https://doi.org/10.1287/trsc.2022.0214openalex-snapshot
Probabilistic Forecasting of Bus Travel Time with a Bayesian Gaussian Mixture Model
inferredcites →https://doi.org/10.3141/1886-02openalex-snapshot
Comparative Analysis of Customer Response to Online Traffic Information in Two Cities: Los Angeles, California, and Seattle, Washington
inferredcites →https://doi.org/10.3141/2069-10openalex-snapshot
Traveler Information Delivery Mechanisms
inferredcites →https://doi.org/10.3141/2069-11openalex-snapshot
What Affects Use of Pretrip Public Transport Information?
inferredcites →https://doi.org/10.3141/2072-13openalex-snapshot
Modeling the Factors Affecting Bus Stop Dwell Time
inferredcites →https://doi.org/10.3141/2539-13openalex-snapshot
Estimation of Short-Term Bus Travel Time by Using Low-Resolution Automated Vehicle Location Data
inferredcites →https://doi.org/10.3390/electronics11121875openalex-snapshot
A Novel Bus Arrival Time Prediction Method Based on Spatio-Temporal Flow Centrality Analysis and Deep Learning
inferredcites →https://doi.org/10.3390/electronics13091771openalex-snapshot
Predicting Bus Travel Time in Cheonan City through Deep Learning Utilizing Digital Tachograph Data
inferredcites →https://doi.org/10.3846/16484142.2015.1100676openalex-snapshot
INTEGRATION OF EXPONENTIAL SMOOTHING WITH STATE SPACE FORMULATION FOR BUS TRAVEL TIME AND ARRIVAL TIME PREDICTION
inferredcites →https://doi.org/10.5038/2375-0901.18.1.6openalex-snapshot
An Adaptive Long-Term Bus Arrival Time Prediction Model with Cyclic Variations
inferredcites →https://doi.org/10.5038/2375-0901.7.1.2openalex-snapshot
Determinants of Bus Dwell Time
inferredcites →https://doi.org/10.5038/2375-0901.9.2.5openalex-snapshot
Passenger Wait Time Perceptions at Bus Stops: Empirical Results and Impact on Evaluating Real - Time Bus Arrival Information
inferredcites →https://doi.org/10.7307/ptt.v27i4.1577openalex-snapshot
A Hybrid Model Based on Support Vector Machine for Bus Travel-Time Prediction
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