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Expected Time of Arrival Model for School Bus Transit Using Real-Time Global Positioning System-Based Automatic Vehicle Location Data
5 references·3 citing·28 second hop
Expected Time of Arrival Model for School Bus Transit Using Real-Time Global Positioning System-Based Automatic Vehicle Location Data (2007)Expected Time of Arrival Model for School…Prediction Model of Bus Arrival and Departure Times Using AVL and APC Data (2004)Prediction Model of Bus Arriv…Modeling schedule recovery processes in transit operations for bus arrival time prediction (2004)Modeling schedule recovery pr…A Dynamic Bus‐Arrival Time Prediction Model Based on APC Data (2004)A Dynamic Bus‐Arrival Time Pr…Transit Vehicle Arrival Prediction: Algorithm and Large-Scale Implementation (2001)Transit Vehicle Arrival Predi…Experimental Study of Real-Time Bus Arrival Time Prediction with GPS Data (1999)Experimental Study of Real-Ti…The importance of MPIS on RK for further ITS implementation in Malaysia (2017)The importance of MPIS on RK …Data as a resource: real-time predictive analytics for bus bunching (2015)Data as a resource: real-time…WHAT DO PASSENGERS NEED OUT OF PUBLIC TRANSPORT INFORMATION SYSTEMS (2007)WHAT DO PASSENGERS NEED OUT O…Dynamic Bus Arrival Time Prediction with Artificial Neural Networks (2002)Improving Mass Transit Operations by Using AVL-Based Systems: A Survey (2015)Analysis of bus travel time distributions for varying horizons and real-time applications (2017)ADVANCED PUBLIC TRANSPORTATION SYSTEMS: THE STATE OF THE ART UPDATE 2000 (2000)Limited-stop bus service: an evaluation of an implementation strategy (2010)Bus-Arrival-Time Prediction Models: Link-Based and Section-Based (2011)Real-Time Bus Arrival Information System: An Empirical Evaluation (2015)(Dis)satisfaction with public services: the case of public transportation (1995)Application of perceived value model to identify factors affecting passengers' repurchase intentions on city bus: A case of the Taipei metropolitan area (2003)An Examination of the Public Transport Information Requirements of Users (2007)An investigation of route-choice in integrated public transport networks by risk-averse users (2019)A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons (2009)Bus arrival time prediction at bus stop with multiple routes (2011)A self-coördinating bus route to resist bus bunching (2012)Reliable feeder bus schedule optimization in a multi-mode transit system (2017)Passenger perceptions and the ideal urban bus journey experience (2007)Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings (2009)OneBusAway (2010)Evaluating the Quality of Service of Bus Performance in Johor Bahru (2022)Predicting Bus Arrival Time on the Basis of Global Positioning System Data (2007)Dynamic multi-interval bus travel time prediction using bus transit data (2009)A literature review of the passenger benefits of real-time transit information (2018)Analyzing transit service reliability using detailed data from automatic vehicular locator systems (2011)A real-time bus dispatching policy to minimize passenger wait on a high frequency route (2015)Du-Bus: A Realtime Bus Waiting Time Estimation System Based On Multi-Source Data (2022)Dynamic Prediction Method with Schedule Recovery Impact for Bus Arrival Time (2005)A dynamic holding strategy in public transit systems with real-time information (2007)Estimation of bus dwell time using univariate time series models (2014)
this work references cited by second hop

References

  • 2004A Dynamic Bus‐Arrival Time Prediction Model Based on APC Data209 cited
  • 2004Prediction Model of Bus Arrival and Departure Times Using AVL and APC Data193 cited
  • 1999Experimental Study of Real-Time Bus Arrival Time Prediction with GPS Data170 cited
  • 2004Modeling schedule recovery processes in transit operations for bus arrival time prediction77 cited
  • 2001Transit Vehicle Arrival Prediction: Algorithm and Large-Scale Implementation62 cited

Cited by

  • 2007WHAT DO PASSENGERS NEED OUT OF PUBLIC TRANSPORT INFORMATION SYSTEMS12 cited
  • 2015Data as a resource: real-time predictive analytics for bus bunching6 cited
  • 2017The importance of MPIS on RK for further ITS implementation in Malaysia6 cited

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