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Recommending taxi routes with an advance reservation – a multi-criteria route planner
4 references·0 citing·18 second hop
Recommending taxi routes with an advance reservation – a multi-criteria route planner (2021)Recommending taxi routes with an advance …Trip destination prediction based on multi-day GPS data (2018)Trip destination prediction b…Predicting driver destination using machine learning techniques (2013)Predicting driver destination…B-Planner: Night bus route planning using large-scale taxi GPS traces (2013)B-Planner: Night bus route pl…Trip destination prediction based on past GPS log using a Hidden Markov Model (2010)Trip destination prediction b…Inferring High-Level Behavior from Low-Level Sensors (2003)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Exploiting machine learning techniques for location recognition and prediction with smartphone logs (2015)A hybrid Markov-based model for human mobility prediction (2017)Trip router with individualized preferences (TRIP): incorporating personalization into route planning (2006)A Context- and Trajectory-Based Destination Prediction of Public Transportation Users (2022)Survey of Automated Fare Collection Solutions in Public Transportation (2022)Transit network design and scheduling: A global review (2008)Urban computing with taxicabs (2011)Discovering regions of different functions in a city using human mobility and POIs (2012)Data-Driven Transit Network Design From Mobile Phone Trajectories (2016)Intelligent bus routing with heterogeneous human mobility patterns (2016)Understanding operation behaviors of taxicabs in cities by matrix factorization (2016)Predestination: Inferring Destinations from Partial Trajectories (2006)The habit-driven life: Accounting for inertia in departure time choices for commuting trips (2020)Assessing temporal–spatial characteristics of urban travel behaviors from multiday smart-card data (2021)How do young people move around in urban spaces?: Exploring trip patterns of generation-Z in urban areas by examining travel histories on Google Maps Timeline (2023)
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References

  • 2010Trip destination prediction based on past GPS log using a Hidden Markov Model127 cited
  • 2013B-Planner: Night bus route planning using large-scale taxi GPS traces94 cited
  • 2018Trip destination prediction based on multi-day GPS data77 cited
  • 2013Predicting driver destination using machine learning techniques33 cited

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