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Day-to-day Traffic Dynamics: Laboratory-like Experiment on Route Choice and Route Switching in a Simple Network with Limited Feedback Information
16 references·15 citing·41 second hop
Day-to-day Traffic Dynamics: Laboratory-like Experiment on Route Choice and Route Switching in a Simple Network with Limited Feedback Information (2013)Day-to-day Traffic Dynamics: Laboratory-l…The impact of travel information’s accuracy on route-choice (2012)The impact of travel informat…Day-to-day dynamic models for Intelligent Transportation Systems design and appraisal (2012)Day-to-day dynamic models for…Information Impacts on Route Choice and Learning Behavior in a Congested Network (2011)Information Impacts on Route …Stability and attraction domains of traffic equilibria in a day-to-day dynamical system formulation (2009)Stability and attraction doma…Modeling Learning in Route Choice (2007)Modeling Learning in Route Ch…Commuters route choice behaviour (2006)Commuters route choice behavi…Route Choice Model with Inductive Learning (2000)Route Choice Model with Induc…Dynamics of commuting decision behaviour under advanced traveller information systems (1999)Dynamics of commuting decisio…Drivers’ Learning and Network Behavior: Dynamic Analysis of the Driver-Network System as a Complex System (1999)Drivers’ Learning and Network…Dynamic Processes and Equilibrium in Transportation Networks: Towards a Unifying Theory (1995)Dynamic Processes and Equilib…Experimental analysis of dynamic route choice behavior (1992)Experimental analysis of dyna…A stochastic process approach to the analysis of temporal dynamics in transportation networks (1989)A stochastic process approach…Individual Decisions and Collective Effects in a Simulated Traffic System (1986)Individual Decisions and Coll…The stability of stochastic equilibrium in a two-link transportation network (1984)The stability of stochastic e…The Stability of a Dynamic Model of Traffic Assignment—An Application of a Method of Lyapunov (1984)The Stability of a Dynamic Mo…Rank Correlation and Population Models (1950)Rank Correlation and Populati…Agentic Large Language Models for day-to-day route choices (2025)Agentic Large Language Models…Investigating day-to-day route choices based on multi-scenario laboratory experiments, Part II: Route-dependent attraction-based stochastic process model (2024)Investigating day-to-day rout…Modeling the Combined Effect of Travelers’ Contrarian Behavior, Learning and Inertia on the Day-to-Day Dynamics of Route Choice (2023)Modeling the Combined Effect …Investigating day-to-day route choices based on multi-scenario laboratory experiments, Part I: Route-dependent attraction and its modeling (2022)Investigating day-to-day rout…Can day-to-day dynamic model be solved analytically? New insights on portraying equilibrium and accommodating autonomous vehicles (2022)Can day-to-day dynamic model …The effect of modern traffic information on Braess’ paradox (2021)The effect of modern traffic …Day-to-day route choice in networks with different sets for choice: experimental results (2021)Day-to-day route choice in ne…Braess’ paradox in the age of traffic information (2021)Braess’ paradox in the age of…An analyzable agent-based framework for modeling day-to-day route choice (2021)An analyzable agent-based fra…Experimental Study of Day-to-Day Route-Choice Behavior: Evaluating the Effect of ATIS Market Penetration (2020)Experimental Study of Day-to-…Contrarians do better: Testing participants’ response to information in a simulated day-to-day route choice experiment (2019)Contrarians do better: Testin…Individual response modes to pre-trip information in congestible networks: laboratory experiment (2018)Individual response modes to …Experimental analyses and clustering of travel choice behaviours by floating car big data in a large urban area (2018)Experimental analyses and clu…Chaotic Behavior of Traffic-Flow Evolution with Two Departure Intervals in Two-Link Transportation Network (2018)Chaotic Behavior of Traffic-F…Exploration of day-to-day route choice models by a virtual experiment (2017)Exploration of day-to-day rou…Judgment under Uncertainty: Heuristics and Biases (1974)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Public engagement in strategic transportation planning: An analytic hierarchy process based approach (2014)Response to Travel Information: A Behavioural Review (2015)An extension of the technology acceptance model for understanding travelers’ adoption of variable message signs (2019)On Boundedly Rational User Equilibrium in Transportation Systems (1987)System performance and user response under real-time information in a congested traffic corridor (1991)Developments in dynamic and activity-based approaches to travel analysis (1993)Adaptive route choices in risky traffic networks: A prospect theory approach (2009)Which road do I take? A learning-based model of route-choice behavior with real-time information (2010)Studies in the Economics of Transportation. (1956)Studies in the Economics of Transportation. (1957)On Stochastic Models of Traffic Assignment (1977)The existence, uniqueness and stability of traffic equilibria (1979)Recursive Methods in Economic Dynamics (1989)A General Fixed-Point Approach to Multimode Multi-User Equilibrium Assignment with Elastic Demand (1997)Projected Dynamical Systems in the Formulation, Stability Analysis, and Computation of Fixed-Demand Traffic Network Equilibria (1997)Modelling network travel time reliability under stochastic demand (2004)Day-To-Day Dynamic Network Disequilibria and Idealized Traveler Information Systems (1994)Bounded rationality and irreversible network change (2011)Modelling sources of variation in transportation systems: theoretical foundations of day-to-day dynamic models (2013)Link-based day-to-day network traffic dynamics and equilibria (2014)Non-cooperative games (1989)The method of paired comparisons for social values. (1927)Rank Correlation Methods. (1949)Rank Correlation Methods. (1957)Rank aggregation methods (2010)A comparative analysis of Spearman's rho and Kendall's tau in normal and contaminated normal models (2012)Algorithmic monoculture and social welfare (2021)Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term (1995)Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria (1998)Simple Heuristics That Make Us Smart (1999)A payoff-based learning procedure and its application to traffic games (2008)10. Learning and the Economics of Small Decisions (2016)Understanding individual routing behaviour (2016)Modeling Inertia and Compliance Mechanisms in Route Choice Behavior Under Real-Time Information (2000)The Impact of Travel Time Information on Travelers’ Learning under Uncertainty (2006)A day-to-day and within-day dynamic stochastic assignment model (1991)A Doubly Dynamic Schedule-based Assignment Model for Transit Networks (2001)A link-based day-to-day traffic assignment model (2009)
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References

  • 1984The Stability of a Dynamic Model of Traffic Assignment—An Application of a Method of Lyapunov487 cited
  • 1995Dynamic Processes and Equilibrium in Transportation Networks: Towards a Unifying Theory382 cited
  • 1984The stability of stochastic equilibrium in a two-link transportation network380 cited
  • 1999Dynamics of commuting decision behaviour under advanced traveller information systems314 cited
  • 1989A stochastic process approach to the analysis of temporal dynamics in transportation networks248 cited
  • 2006Commuters route choice behaviour218 cited
  • 1950Rank Correlation and Population Models206 cited
  • 2012The impact of travel information’s accuracy on route-choice196 cited
  • 1992Experimental analysis of dynamic route choice behavior191 cited
  • 2009Stability and attraction domains of traffic equilibria in a day-to-day dynamical system formulation142 cited
  • 2000Route Choice Model with Inductive Learning97 cited
  • 2012Day-to-day dynamic models for Intelligent Transportation Systems design and appraisal88 cited
  • 1999Drivers’ Learning and Network Behavior: Dynamic Analysis of the Driver-Network System as a Complex System81 cited
  • 1986Individual Decisions and Collective Effects in a Simulated Traffic System80 cited

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2007
Modeling Learning in Route Choice
66 cited
  • 2011Information Impacts on Route Choice and Learning Behavior in a Congested Network64 cited
  • Cited by

    • 2018Experimental analyses and clustering of travel choice behaviours by floating car big data in a large urban area28 cited
    • 2025Agentic Large Language Models for day-to-day route choices25 cited
    • 2018Individual response modes to pre-trip information in congestible networks: laboratory experiment25 cited
    • 2022Can day-to-day dynamic model be solved analytically? New insights on portraying equilibrium and accommodating autonomous vehicles20 cited
    • 2022Investigating day-to-day route choices based on multi-scenario laboratory experiments, Part I: Route-dependent attraction and its modeling18 cited
    • 2017Exploration of day-to-day route choice models by a virtual experiment17 cited
    • 2021The effect of modern traffic information on Braess’ paradox15 cited
    • 2019Contrarians do better: Testing participants’ response to information in a simulated day-to-day route choice experiment14 cited
    • 2021Braess’ paradox in the age of traffic information12 cited
    • 2018Chaotic Behavior of Traffic-Flow Evolution with Two Departure Intervals in Two-Link Transportation Network10 cited
    • 2021Day-to-day route choice in networks with different sets for choice: experimental results9 cited
    • 2020Experimental Study of Day-to-Day Route-Choice Behavior: Evaluating the Effect of ATIS Market Penetration9 cited
    • 2021An analyzable agent-based framework for modeling day-to-day route choice7 cited
    • 2023Modeling the Combined Effect of Travelers’ Contrarian Behavior, Learning and Inertia on the Day-to-Day Dynamics of Route Choice7 cited
    • 2024Investigating day-to-day route choices based on multi-scenario laboratory experiments, Part II: Route-dependent attraction-based stochastic process model6 cited