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Unconventional Public Transport Anonymous Data Collection employing Artificial Intelligence
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Unconventional Public Transport Anonymous Data Collection employing Artificial Intelligence (2019)Unconventional Public Transport Anonymous…A probabilistic Passenger-to-Train Assignment Model based on automated data (2017)A probabilistic Passenger-to-…Transit passenger origin–destination flow estimation: Efficiently combining onboard survey and large automatic passenger count datasets (2015)Transit passenger origin–dest…Predicting public transport arrival time and congestion based on BLE beacon crowdsourced data (2022)Predicting public transport a…Inferences on trip matrices from observations on link volumes: A Bayesian statistical approach (1983)Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator (1984)Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems (2011)Advanced public transport and intelligent transport systems: new modelling challenges (2016)Visualizing public transit system operation with GTFS data: A case study of Calgary, Canada (2020)Origin-destination inference in public transportation systems: A comprehensive review (2022)Urban operations research (1982)Optimal strategies: A new assignment model for transit networks (1989)Smart card data use in public transit: A literature review (2011)Equity-oriented skip-stopping schedule optimization in an oversaturated urban rail transit network (2018)Demand management of congested public transport systems: a conceptual framework and application using smart card data (2019)Integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network: A space-time-state hyper network-based assignment approach (2019)
this work references cited by second hop

References

  • 2017A probabilistic Passenger-to-Train Assignment Model based on automated data103 cited
  • 2015Transit passenger origin–destination flow estimation: Efficiently combining onboard survey and large automatic passenger count datasets62 cited

Cited by

  • 2022Predicting public transport arrival time and congestion based on BLE beacon crowdsourced data3 cited

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