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Reinduction of Albatross Decision Rules with Pooled Activity-Travel Diary Data and an Extended Set of Land Use and Cost-Related Condition States
3 references·8 citing·37 second hop
Reinduction of Albatross Decision Rules with Pooled Activity-Travel Diary Data and an Extended Set of Land Use and Cost-Related Condition States (2003)Reinduction of Albatross Decision Rules w…PETRA — An Activity-based Approach to Travel Demand Analysis (2002)PETRA — An Activity-based App…Travel behaviour research : the leading edge (2001)Travel behaviour research : t…ALBATROSS : a learning based transportation oriented simulation system (2000)ALBATROSS : a learning based …Two-Level, Dynamic, Week-Long Work Episode Scheduling Model (2017)Two-Level, Dynamic, Week-Long…A Generic Data-driven Sequential Clustering Algorithm Determining Activity Skeletons (2016)A Generic Data-driven Sequent…Multiagent‐Based Simulation of Temporal‐Spatial Characteristics of Activity‐Travel Patterns Using Interactive Reinforcement Learning (2014)Multiagent‐Based Simulation o…Effects of travel time delay on multi-faceted activity scheduling under space-time constraints: A simulation study (2014)Effects of travel time delay …Probabilistic forecasting of time-dependent origin–destination matrices by a complex activity-based model system: effects of model uncertainty (2013)Probabilistic forecasting of …Robust Approach to Modeling Choice of Locations in Daily Activity Sequences (2007)Robust Approach to Modeling C…Preliminary Assessment of Activity Analysis and Modeling for Homeland Security Applications (2006)Preliminary Assessment of Act…Measuring the goodness-of-fit of decision-tree models of discrete and continuous activity-travel choice: methods and empirical illustration (2003)Measuring the goodness-of-fit…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)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete choice analysis: Theory and application to travel demand (1988)National Transport Models: Introduction and Comparative Analysis (2002)Concepts of Price Elasticities of Transport Demand and Recent Empirical Estimates: An Interpretative Survey (2005)Trip-Chain-Based Travel-Mode-Shares-Driven Framework using Cellular Signaling Data and Web-Based Mapping Service Data (2019)Prototype Model of Household Activity-Travel Scheduling (2003)ILUTE: An Operational Prototype of a Comprehensive Microsimulation Model of Urban Systems (2005)Travel Behavior and Demand Analysis and Prediction (2009)How to improve MATSim destination choice for discretionary activities? (2012)Integrated Model of the Urban Continuum with Dynamic Time-dependent Activity-Travel Microsimulation: Framework, Prototype, and Implementation (2012)Creating synthetic baseline populations (1996)A learning-based transportation oriented simulation system (2003)What about people in Regional Science? (1970)Activity-based disaggregate travel demand model system with activity schedules (2001)Modeling the Commuting Travel Activities within Historic Districts in Chinese Cities (2014)Context-aware inverse reinforcement learning for modeling individuals’ daily activity schedules (2025)Trip Generation Modeling Using CHAID, a Criterion-Based Segmentation Modeling Tool (1998)Creating a Synthetic Household Travel and Activity Survey: Rationale and Feasibility Analysis (2000)Bayesian networks for constrained location choice modeling using structural restrictions and model averaging (2018)An integration modeling framework for individual-scale daily mobility estimation (2023)Simulation model of activity scheduling behavior (1993)Theoretical Foundations of Travel Choice Modeling (1998)The Impact of Simplification in a Sequential Rule-Based Model of Activity-Scheduling Behavior (2005)Modeling Car Allocation Decisions in Automobile Deficient Households (2007)The usefulness of the Sequence Alignment Methods in validating rule-based activity-based forecasting models (2012)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Modelling accessibility using space-time prism concepts within geographical information systems (1991)Space‐Time and Integral Measures of Individual Accessibility: A Comparative Analysis Using a Point‐based Framework (1998)Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns (2004)The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions (2007)Activity‐based model based on multi‐day cellular data: Considering the lack of personal attributes and activity type (2023)Spatial interaction modelling (2003)Hypothetical bias, choice experiments and willingness to pay (2010)Residential mobility and location choice: a nested logit model with sampling of alternatives (2010)
this work references cited by second hop

References

  • 2000ALBATROSS : a learning based transportation oriented simulation system389 cited
  • 2001Travel behaviour research : the leading edge211 cited
  • 2002PETRA — An Activity-based Approach to Travel Demand Analysis27 cited

Cited by

  • 2006Preliminary Assessment of Activity Analysis and Modeling for Homeland Security Applications20 cited
  • 2007Robust Approach to Modeling Choice of Locations in Daily Activity Sequences17 cited
  • 2003Measuring the goodness-of-fit of decision-tree models of discrete and continuous activity-travel choice: methods and empirical illustration17 cited
  • 2014Effects of travel time delay on multi-faceted activity scheduling under space-time constraints: A simulation study13 cited
  • 2014Multiagent‐Based Simulation of Temporal‐Spatial Characteristics of Activity‐Travel Patterns Using Interactive Reinforcement Learning11 cited
  • 2017Two-Level, Dynamic, Week-Long Work Episode Scheduling Model8 cited
  • 2013Probabilistic forecasting of time-dependent origin–destination matrices by a complex activity-based model system: effects of model uncertainty6 cited
  • 2016A Generic Data-driven Sequential Clustering Algorithm Determining Activity Skeletons4 cited

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