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MODELING SCHEDULE DEVIATIONS OF BUSES USING AUTOMATIC VEHICLE-LOCATION DATA AND ARTIFICIAL NEURAL NETWORKS
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MODELING SCHEDULE DEVIATIONS OF BUSES USING AUTOMATIC VEHICLE-LOCATION DATA AND ARTIFICIAL NEURAL NETWORKS (1995)MODELING SCHEDULE DEVIATIONS OF BUSES USI…Time series forecasting using neural networks (1994)Time series forecasting using…Bus Travel Time: Experimental Evidence and Forecasting (2020)Bus Travel Time: Experimental…TRAMWAY DWELL TIME ESTIMATION AND ANALYSIS BY USING MULTIPLE LINEAR REGRESSION METHOD (2019)TRAMWAY DWELL TIME ESTIMATION…Evaluating alternative methods to estimate bus running times by archived automatic vehicle location data (2018)Evaluating alternative method…Estimation of bus dwell time using univariate time series models (2014)Estimation of bus dwell time …Comparative analysis of operation strategies in schedule design for a fixed bus route (2014)Comparative analysis of opera…Risk-Based Transit Schedule Design for a Fixed Route from the View of Equity (2013)Risk-Based Transit Schedule D…Benefits and issues of bus travel time estimation and prediction (2012)Benefits and issues of bus tr…Using SCATS data to predict bus travel time (2009)Using SCATS data to predict b…AVL-BASED TRANSIT OPERATIONS CONTROL (2005)AVL-BASED TRANSIT OPERATIONS …Sistemas inteligentes no transporte público coletivo por ônibus (2000)Sistemas inteligentes no tran…Forecasting methods and applications (1993)Principles of Forecasting (2001)Another look at measures of forecast accuracy (2006)Using Automatic Vehicle Location Data to Model and Identify Determinants of Bus Bunching (2017)Bus Arrival Time Modeling Based on Auckland Data (2019)Estimating bus dwell time: A review of the literature (2022)Control Strategies for an Idealized Public Transportation System (1972)A Dynamic Bus‐Arrival Time Prediction Model Based on APC Data (2004)Public Transit Planning and Operation: Theory, Modeling and Practice (2007)The valuation of reliability for personal travel (2001)Dynamic Bus Arrival Time Prediction with Artificial Neural Networks (2002)Transit capacity and quality of service manual (2003)Extracting potential Travel time information from raw GPS data and Evaluating the Performance of Public transit - a case study in Kandy, Sri Lanka (2023)Time Series Analysis: Forecasting and Control (1977)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Forecasting the behavior of multivariate time series using neural networks (1992)Time series forecasting using neural networks: should the data be deseasonalized first? (1999)The adaptive selection of financial and economic variables for use with artificial neural networks (2003)A hybrid model for stock market forecasting and portfolio selection based on ARX, grey system and RS theories (2008)Optimization of conditional value-at-risk (2000)Conditional value-at-risk for general loss distributions (2002)Risk-Based Formulation of the Transit Priority Network Design (2021)Robust collaborative scheduling optimization for multiple electric bus routes under stochastic traffic conditions (2025)Bus dispatching at timed transfer transit stations using bus tracking technology (1999)Monte Carlo bounding techniques for determining solution quality in stochastic programs (1999)Analyzing urban bus service reliability at the stop, route, and network levels (2009)Reliability Analysis of Bus Timetabling Strategy during the COVID-19 Epidemic: A Case Study of Yixing, China (2021)A better measure of relative prediction accuracy for model selection and model estimation (2014)Investigating bus travel time and predictive models: a time series-based approach (2020)Real-time bus arrival delays analysis using seemingly unrelated regression model (2024)From Raw GPS to GTFS: A Real-World Open Dataset for Bus Travel Time Prediction (2025)Factors affecting running time on transit routes (1983)Experimental Study of Real-Time Bus Arrival Time Prediction with GPS Data (1999)Bus dwell time estimation at bus bays: A probabilistic approach (2013)The value of time and reliability: measurement from a value pricing experiment (2001)Monitoring and controlling real-time bus services: a reinforcement learning procedure for eliminating bus bunching (2022)Generalization strategies for improving bus travel time prediction across networks (2024)The Holding Problem with Real–Time Information Available (2001)Real-Time Optimization Model for Dynamic Scheduling of Transit Operations (2003)A Bus-Following Model for Preventing Service Unreliability on a Circular Bus Route (2009)
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References

  • 1994Time series forecasting using neural networks178 cited

Cited by

  • 2014Estimation of bus dwell time using univariate time series models31 cited
  • 2018Evaluating alternative methods to estimate bus running times by archived automatic vehicle location data19 cited
  • 2012Benefits and issues of bus travel time estimation and prediction19 cited
  • 2020Bus Travel Time: Experimental Evidence and Forecasting14 cited
  • 2013Risk-Based Transit Schedule Design for a Fixed Route from the View of Equity11 cited
  • 2009Using SCATS data to predict bus travel time9 cited
  • 2014Comparative analysis of operation strategies in schedule design for a fixed bus route5 cited
  • 2005AVL-BASED TRANSIT OPERATIONS CONTROL5 cited
  • 2019TRAMWAY DWELL TIME ESTIMATION AND ANALYSIS BY USING MULTIPLE LINEAR REGRESSION METHOD4 cited
  • 2000Sistemas inteligentes no transporte público coletivo por ônibus4 cited

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