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Ensemble learning activity scheduler for activity based travel demand models
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Ensemble learning activity scheduler for activity based travel demand models (2021)Ensemble learning activity scheduler for …Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning (2015)Machine Learning Models and A…Clustering daily patterns of human activities in the city (2012)Clustering daily patterns of …A Handbook of Transport Economics (2011)A Handbook of Transport Econo…Framework for the development of the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model (2009)Framework for the development…Validation of TASHA: A 24-h activity scheduling microsimulation model (2007)Validation of TASHA: A 24-h a…Learning and inferring transportation routines (2007)Learning and inferring transp…Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns (2004)Comprehensive Econometric Mic…Prototype Model of Household Activity-Travel Scheduling (2003)Prototype Model of Household …A learning-based transportation oriented simulation system (2003)A learning-based transportati…Error and uncertainty in modeling and simulation (2002)Error and uncertainty in mode…Micro-simulation of daily activity-travel patterns for travel demand forecasting (2000)Micro-simulation of daily act…ALBATROSS : a learning based transportation oriented simulation system (2000)ALBATROSS : a learning based …Computational-process modelling of household activity scheduling (1994)Computational-process modelli…A model of complex travel behavior: Part II—An operational model (1986)A model of complex travel beh…A model of complex travel behavior: Part I—Theoretical development (1986)A model of complex travel beh…WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)WHAT ABOUT PEOPLE IN REGIONAL…Revealing non-work travel patterns under the influence of multiple actors: An integrated geospatial agent-based approach (2025)Revealing non-work travel pat…Hybrid machine learning-based approaches for modeling bikeability (2025)Hybrid machine learning-based…Exploring the effects of the built environment on activity duration among older adults: A case study of metro systems in Dalian, China (2025)Exploring the effects of the …Applying Spectral Clustering to Decode Mobility Patterns in Athens, Greece (2025)Applying Spectral Clustering …Week-long activity-based modelling: a review of the existing models and datasets and a comprehensive conceptual framework (2024)Week-long activity-based mode…Post-COVID-19 campus commuting patterns and influential factors: evidence from a developing country (2024)Post-COVID-19 campus commutin…Inclusive accessibility: Analyzing socio-economic disparities in perceived accessibility (2024)Inclusive accessibility: Anal…Activity type detection of mobile phone data based on self-training: Application of the teacher–student cycling model (2024)Activity type detection of mo…An integration modeling framework for individual-scale daily mobility estimation (2023)An integration modeling frame…Activity‐based model based on multi‐day cellular data: Considering the lack of personal attributes and activity type (2023)Activity‐based model based on…Activity-based model based on long short-term memory network and mobile phone signalling data (2023)Activity-based model based on…A state-based inverse reinforcement learning approach to model activity-travel choices behavior with reward function recovery (2023)A state-based inverse reinfor…A joint and simultaneous prediction framework of weekday and weekend daily-activity travel pattern using conditional dependency networks (2023)A joint and simultaneous pred…Community time-activity trajectory modeling based on Markov chain simulation and Dirichlet regression (2022)Community time-activity traje…Identifying business activity-travel patterns based on GPS data (2021)Identifying business activity…Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model (2021)Framework for development of …Human Problem Solving (1972)A multiple discrete–continuous extreme value model: formulation and application to discretionary time-use decisions (2004)Activity-based models of travel demand: promises, progress and prospects (2013)Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems (1992)Generating complete all-day activity plans with genetic algorithms (2005)MATSim-T (2009)Paths in space-time environments : a time-geographic study of movement possibilities of individuals (1976)The Choreography of Existence: Comments on Hagerstrand's Time-Geography and Its Usefulness (1977)A theoretical and empirical model of trip chaining behavior (1979)Creating synthetic baseline populations (1996)A retrospective and prospective survey of time-use research (1999)The Activity-Based Approach (2007)Architecture of Cognition (1983)How fixed is fixed? Gendered rigidity of space–time constraints and geographies of everyday activities (2008)Using GPS to learn significant locations and predict movement across multiple users (2003)Reality mining: sensing complex social systems (2005)Understanding mobility based on GPS data (2008)PEIR, the personal environmental impact report, as a platform for participatory sensing systems research (2009)Motivation and personality (1993)Motivation and Personality (1997)Understanding individual human mobility patterns (2008)A review of urban computing for mobile phone traces (2013)Inferring patterns in the multi-week activity sequences of public transport users (2016)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Automobile Prices in Market Equilibrium (1995)Technology, Geography, and Trade (2002)Effects of high-speed rail and airline cooperation under hub airport capacity constraint (2014)High-speed rail and regional development: the case of intermediate stations (2014)Railroads of the Raj: Estimating the Impact of Transportation Infrastructure (2018)The Welfare Effects of Transportation Infrastructure Improvements (2022)Simulation Modeling and Analysis. (1983)Empirical Model Building and Response Surfaces (1988)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Verification, validation, and predictive capability in computational engineering and physics (2004)Calibration, validation, and sensitivity analysis: What's what (2006)Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence (2012)ILUTE: An Operational Prototype of a Comprehensive Microsimulation Model of Urban Systems (2005)Space‐Time and Integral Measures of Individual Accessibility: A Comparative Analysis Using a Point‐based Framework (1998)Accessibility evaluation of land-use and transport strategies: review and research directions (2003)Human mobility: Models and applications (2018)
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References

  • 1970WHAT ABOUT PEOPLE IN REGIONAL SCIENCE?3,414 cited
  • 2007Learning and inferring transportation routines798 cited
  • 2002Error and uncertainty in modeling and simulation629 cited
  • 2003A learning-based transportation oriented simulation system583 cited
  • 2004Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns400 cited
  • 2000ALBATROSS : a learning based transportation oriented simulation system389 cited
  • 2003Prototype Model of Household Activity-Travel Scheduling383 cited
  • 2011A Handbook of Transport Economics380 cited
  • 2012Clustering daily patterns of human activities in the city282 cited
  • 1986A model of complex travel behavior: Part I—Theoretical development253 cited
  • 2000Micro-simulation of daily activity-travel patterns for travel demand forecasting216 cited
  • 1994Computational-process modelling of household activity scheduling199 cited
  • 2007Validation of TASHA: A 24-h activity scheduling microsimulation model174 cited
  • 2015Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning155 cited
  • 1986A model of complex travel behavior: Part II—An operational model

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152 cited
  • 2009Framework for the development of the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model141 cited
  • Cited by

    • 2021Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model23 cited
    • 2021Identifying business activity-travel patterns based on GPS data20 cited
    • 2024Inclusive accessibility: Analyzing socio-economic disparities in perceived accessibility15 cited
    • 2023A state-based inverse reinforcement learning approach to model activity-travel choices behavior with reward function recovery14 cited
    • 2022Community time-activity trajectory modeling based on Markov chain simulation and Dirichlet regression14 cited
    • 2024Activity type detection of mobile phone data based on self-training: Application of the teacher–student cycling model13 cited
    • 2023A joint and simultaneous prediction framework of weekday and weekend daily-activity travel pattern using conditional dependency networks12 cited
    • 2023Activity-based model based on long short-term memory network and mobile phone signalling data11 cited
    • 2025Applying Spectral Clustering to Decode Mobility Patterns in Athens, Greece9 cited
    • 2024Week-long activity-based modelling: a review of the existing models and datasets and a comprehensive conceptual framework8 cited
    • 2023Activity‐based model based on multi‐day cellular data: Considering the lack of personal attributes and activity type7 cited
    • 2024Post-COVID-19 campus commuting patterns and influential factors: evidence from a developing country6 cited
    • 2025Exploring the effects of the built environment on activity duration among older adults: A case study of metro systems in Dalian, China5 cited
    • 2025Hybrid machine learning-based approaches for modeling bikeability4 cited
    • 2025Revealing non-work travel patterns under the influence of multiple actors: An integrated geospatial agent-based approach4 cited
    • 2023An integration modeling framework for individual-scale daily mobility estimation4 cited