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STUDY ON DYNAMIC INFLUENCE OF PASSENGER FLOW ON INTELLIGENT BUS TRAVEL SERVICE MODEL
8 references·1 citing·26 second hop
STUDY ON DYNAMIC INFLUENCE OF PASSENGER FLOW ON INTELLIGENT BUS TRAVEL SERVICE MODEL (2021)STUDY ON DYNAMIC INFLUENCE OF PASSENGER F…A Real-Time Passenger Flow Estimation and Prediction Method for Urban Bus Transit Systems (2017)A Real-Time Passenger Flow Es…Bus arrival time prediction at bus stop with multiple routes (2011)Bus arrival time prediction a…Using GPS Data to Gain Insight into Public Transport Travel Time Variability (2009)Using GPS Data to Gain Insigh…Dynamic multi-interval bus travel time prediction using bus transit data (2009)Dynamic multi-interval bus tr…Predicting Bus Arrival Time on the Basis of Global Positioning System Data (2007)Predicting Bus Arrival Time o…Prediction Model of Bus Arrival and Departure Times Using AVL and APC Data (2004)Prediction Model of Bus Arriv…Estimation of Bus Arrival Times Using APC Data (2004)Estimation of Bus Arrival Tim…A Dynamic Bus‐Arrival Time Prediction Model Based on APC Data (2004)A Dynamic Bus‐Arrival Time Pr…Ensemble Methodology: Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble (2024)Ensemble Methodology: Innovat…Design and Analysis of Experiments (2000)Dynamic Bus Arrival Time Prediction with Artificial Neural Networks (2002)Bus Transit Service Reliability and Improvement Strategies: Integrating the Perspectives of Passengers and Transit Agencies in North America (2015)Improving Mass Transit Operations by Using AVL-Based Systems: A Survey (2015)Experimental Study of Real-Time Bus Arrival Time Prediction with GPS Data (1999)Bus arrival time prediction using artificial neural network model (2005)A predictive-control framework to address bus bunching (2017)Analysis of bus travel time distributions for varying horizons and real-time applications (2017)Transportation Research Board (2014)Estimation of trip travel time distribution using a generalized Markov chain approach (2016)The valuation of reliability for personal travel (2001)The value of time and reliability: measurement from a value pricing experiment (2001)Travel time variability: A review of theoretical and empirical issues (2002)Efficient transit network design and frequencies setting multi-objective optimization by alternating objective genetic algorithm (2015)Disparities in travel times between car and transit: Spatiotemporal patterns in cities (2020)Forecasting with artificial neural networks: (1998)Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data (1998)Introductory Econometrics for Finance (2008)A smart system for short-term price prediction using time series models (2019)A Data-Driven Timetable Optimization of Urban Bus Line Based on Multi-Objective Genetic Algorithm (2020)iABACUS: A Wi-Fi-Based Automatic Bus Passenger Counting System (2020)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)A machine learning based personalized system for driving state recognition (2019)Examining Ethical Aspects of AI: Addressing Bias and Equity in the Discipline (2024)
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References

  • 2011Bus arrival time prediction at bus stop with multiple routes316 cited
  • 2009Using GPS Data to Gain Insight into Public Transport Travel Time Variability256 cited
  • 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
  • 2004Estimation of Bus Arrival Times Using APC Data164 cited
  • 2017A Real-Time Passenger Flow Estimation and Prediction Method for Urban Bus Transit Systems130 cited
  • 2009Dynamic multi-interval bus travel time prediction using bus transit data119 cited
  • 2007Predicting Bus Arrival Time on the Basis of Global Positioning System Data114 cited

Cited by

  • 2024Ensemble Methodology: Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble47 cited

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