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Adaptive Personalized Travel Information Systems: A Bayesian Method to Learn Users' Personal Preferences in Multimodal Transport Networks
11 references·16 citing·43 second hop
Adaptive Personalized Travel Information Systems: A Bayesian Method to Learn Users' Personal Preferences in Multimodal Transport Networks (2013)Adaptive Personalized Travel Information …Travelers’ preferences in multimodal networks: Design and results of a comprehensive series of choice experiments (2013)Travelers’ preferences in mul…Meta-analysis of UK values of travel time: An update (2010)Meta-analysis of UK values of…Algorithms for Itinerary Planning in Multimodal Transportation Networks (2008)Algorithms for Itinerary Plan…Assisting Multimodal Travelers: Design and Prototypical Implementation of a Personal Travel Companion (2007)Assisting Multimodal Traveler…Development of commuter and non-commuter mode choice models for the assessment of new public transport infrastructure projects: A case study (2006)Development of commuter and n…Use and Effects of Advanced Traveller Information Services (ATIS): A Review of the Literature (2005)Use and Effects of Advanced T…Representing mental maps and cognitive learning in micro-simulation models of activity-travel choice dynamics (2005)Representing mental maps and …Discrete Choice Methods with Simulation (2001)Discrete Choice Methods with …A review of British evidence on time and service quality valuations (2001)A review of British evidence …Toward the design of intelligent traveler information systems (1998)Toward the design of intellig…The Choice Theory Approach to Market Research (1986)The Choice Theory Approach to…Personalization in Public Transport Passenger Information Systems: A Systematic Review and Framework (2025)Personalization in Public Tra…Incorporating personalization and bounded rationality into stochastic transit assignment model (2021)Incorporating personalization…How does interchange affect passengers’ route choices in urban rail transit? – a case study of the Shanghai Metro (2021)How does interchange affect p…Trip Chaining Model with Classification and Optimization Parameters (2020)Trip Chaining Model with Clas…Towards agent-based travel demand simulation across all mobility choices – the role of balancing preferences and constraints (2020)Towards agent-based travel de…The Optimal Path Finding Algorithm Based on Reinforcement Learning (2020)The Optimal Path Finding Algo…Route guidance ranking procedures with human perception consideration for personalized public transport service (2020)Route guidance ranking proced…Internet GIS-Based Multimodal Public Transport Trip Planning Information System for Travelers in Lithuania (2019)Internet GIS-Based Multimodal…From location tracking to personalized eco-feedback: A framework for geographic information collection, processing and visualization to promote sustainable mobility behaviors (2018)From location tracking to per…A Multi-Agent Advanced Traveler Information System for Optimal Trip Planning in a Co-Modal Framework (2017)A Multi-Agent Advanced Travel…Individual utility‐based path suggestions in transit trip planners (2016)Individual utility‐based path…Advanced public transport and intelligent transport systems: new modelling challenges (2016)Advanced public transport and…A Heuristic for Multi-modal Route Planning (2016)A Heuristic for Multi-modal R…A Future Internet oriented user centric extended intelligent transportation system (2016)A Future Internet oriented us…Individual Behavioural Models for Personal Transit Pre-trip Planners (2015)Individual Behavioural Models…Bayesian network-based risk assessment for hazmat transportation on the Middle Route of the South-to-North Water Transfer Project in China (2015)Bayesian network-based risk a…Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence (2010)Valuation of a transfer in a multimodal public transport trip (2015)Analysis of Travel Mode Choice in Seoul Using an Interpretable Machine Learning Approach (2021)Multimodal urban mobility and multilayer transport networks (2022)Route Choice: Wayfinding in Transport Networks (1990)Dynamic network models and driver information systems (1991)Commuters route choice behaviour (2006)The Impact of Travel Time Information on Travelers’ Learning under Uncertainty (2006)The valuation of reliability for personal travel (2001)Hypothetical bias, choice experiments and willingness to pay (2010)Traffic congestion pricing methodologies and technologies (2011)Value of travel time reliability: A review of current evidence (2012)Conditional logit analysis of qualitative choice behavior (1972)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Estimation on stated-preference experiments constructed from revealed-preference choices (2007)Does scale heterogeneity across individuals matter? An empirical assessment of alternative logit models (2010)Experimental design influences on stated choice outputs: An empirical study in air travel choice (2010)Public transport values of time (2004)Valuing time and reliability: assessing the evidence from road pricing demonstrations (2005)Experiences from the Swedish Value of Time study (2013)The relationship between well-being and commuting revisited: Does the choice of methodology matter? (2014)How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios (2019)Judgment under Uncertainty: Heuristics and Biases (1974)Travel information as an instrument to change cardrivers’ travel choices: a literature review (2006)The impact of travel information’s accuracy on route-choice (2012)Response to Travel Information: A Behavioural Review (2015)The Body in the Mind (1987)Design and Assessment of an Online Passenger Information System for Integrated Multimodal Trip Planning (2009)A multimodal transport network model for advanced traveler information systems (2011)Designing next generation multimodal traveler information systems to support sustainability-oriented decisions (2014)Specification Tests in Econometrics (1978)Limited-dependent and qualitative variables in econometrics (1983)The Role of the Scale Parameter in the Estimation and Comparison of Multinomial Logit Models (1993)Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach (2002)The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online (2010)Time dependent, shortest-path algorithm for real-time intelligent vehicle highway system applications (1993)An intermodal optimum path algorithm for multimodal networks with dynamic arc travel times and switching delays (2000)Multi-criteria approaches for urban passenger transport systems: a literature review (2014)Automobile Prices in Market Equilibrium (1995)A latent class model for discrete choice analysis: contrasts with mixed logit (2003)The Mixed Logit model: The state of practice (2003)Conducting Discrete Choice Experiments to Inform Healthcare Decision Making (2008)
this work references cited by second hop

References

  • 2001Discrete Choice Methods with Simulation7,780 cited
  • 1986The Choice Theory Approach to Market Research1,307 cited
  • 2001A review of British evidence on time and service quality valuations404 cited
  • 2010Meta-analysis of UK values of travel time: An update333 cited
  • 2005Use and Effects of Advanced Traveller Information Services (ATIS): A Review of the Literature225 cited
  • 1998Toward the design of intelligent traveler information systems207 cited
  • 2006Development of commuter and non-commuter mode choice models for the assessment of new public transport infrastructure projects: A case study200 cited
  • 2008Algorithms for Itinerary Planning in Multimodal Transportation Networks151 cited
  • 2013Travelers’ preferences in multimodal networks: Design and results of a comprehensive series of choice experiments124 cited
  • 2007Assisting Multimodal Travelers: Design and Prototypical Implementation of a Personal Travel Companion90 cited
  • 2005Representing mental maps and cognitive learning in micro-simulation models of activity-travel choice dynamics82 cited

Cited by

  • 2016Advanced public transport and intelligent transport systems: new modelling challenges62 cited
  • 2020Route guidance ranking procedures with human perception consideration for personalized public transport service51 cited
  • 2015

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Bayesian network-based risk assessment for hazmat transportation on the Middle Route of the South-to-North Water Transfer Project in China
46 cited
  • 2016Individual utility‐based path suggestions in transit trip planners43 cited
  • 2017A Multi-Agent Advanced Traveler Information System for Optimal Trip Planning in a Co-Modal Framework41 cited
  • 2018From location tracking to personalized eco-feedback: A framework for geographic information collection, processing and visualization to promote sustainable mobility behaviors39 cited
  • 2021Incorporating personalization and bounded rationality into stochastic transit assignment model38 cited
  • 2021How does interchange affect passengers’ route choices in urban rail transit? – a case study of the Shanghai Metro31 cited
  • 2015Individual Behavioural Models for Personal Transit Pre-trip Planners26 cited
  • 2019Internet GIS-Based Multimodal Public Transport Trip Planning Information System for Travelers in Lithuania24 cited
  • 2020The Optimal Path Finding Algorithm Based on Reinforcement Learning22 cited
  • 2016A Future Internet oriented user centric extended intelligent transportation system21 cited
  • 2016A Heuristic for Multi-modal Route Planning18 cited
  • 2020Towards agent-based travel demand simulation across all mobility choices – the role of balancing preferences and constraints18 cited
  • 2020Trip Chaining Model with Classification and Optimization Parameters16 cited
  • 2025Personalization in Public Transport Passenger Information Systems: A Systematic Review and Framework14 cited