SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A prediction model of passenger demand using AVL and APC data from a bus fleet
1 references·3 citing·12 second hop
A prediction model of passenger demand using AVL and APC data from a bus fleet (2015)A prediction model of passenger demand us…Prediction Model of Bus Arrival and Departure Times Using AVL and APC Data (2004)Prediction Model of Bus Arriv…Network-Wide Public Transport Occupancy Prediction Framework With Multiple Line Interactions (2023)Network-Wide Public Transport…Machine Learning Applied to Public Transportation by Bus: A Systematic Literature Review (2023)Machine Learning Applied to P…The practicability of predicting the number of bus passengers by monitoring wi-fi signal from mobile devices with the polynomial regression (2019)The practicability of predict…Feasibility of Analyzing Wi-Fi Activity to Estimate Transit Passenger Population (2016)Classifying Passenger and Non-passenger Signals in Public Transportation by Analysing Mobile Device Wi-Fi Activity (2019)Dynamic Bus Arrival Time Prediction with Artificial Neural Networks (2002)Procedures for Performing Systematic Reviews (2004)Travel time data collection handbook (2010)Optimizing urban bus network based on spatial matching patterns for sustainable transportation: A case study in Harbin, China (2024)Public Transit Planning and Operation (2007)Examining the Factors that Impact Public Transport Commuting Satisfaction (2009)Impacts of weather on public transport ridership: Results from mining data from different sources (2016)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)
this work references cited by second hop

References

  • 2004Prediction Model of Bus Arrival and Departure Times Using AVL and APC Data193 cited

Cited by

  • 2023Machine Learning Applied to Public Transportation by Bus: A Systematic Literature Review21 cited
  • 2023Network-Wide Public Transport Occupancy Prediction Framework With Multiple Line Interactions7 cited
  • 2019The practicability of predicting the number of bus passengers by monitoring wi-fi signal from mobile devices with the polynomial regression4 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work