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Modeling User Equilibrium and the Day-to-day Traffic Evolution based on Cumulative Prospect Theory
7 references·0 citing·34 second hop
Modeling User Equilibrium and the Day-to-day Traffic Evolution based on Cumulative Prospect Theory (2013)Modeling User Equilibrium and the Day-to-…Stable games and their dynamics (2009)Stable games and their dynami…A network equilibrium model with travellers’ perception of stochastic travel times (2009)A network equilibrium model w…Identification of Parameters for a Prospect Theory Model for Travel Choice Analysis (2008)Identification of Parameters …Dynamic commuter departure time choice under uncertainty (2008)Dynamic commuter departure ti…Drivers' Mental Representation of Travel Time and Departure Time Choice in Uncertain Traffic Network Conditions (2004)Drivers' Mental Representatio…Day-To-Day Dynamic Network Disequilibria and Idealized Traveler Information Systems (1994)Day-To-Day Dynamic Network Di…6. SOLUTIONS OF GAMES BY DIFFERENTIAL EQUATIONS (1951)6. SOLUTIONS OF GAMES BY DIFF…Foundations of Economic Analysis. (1948)The existence, uniqueness and stability of traffic equilibria (1979)A Variational Inequality Formulation of the Dynamic Network User Equilibrium Problem (1993)Dynamic Processes and Equilibrium in Transportation Networks: Towards a Unifying Theory (1995)A link-based day-to-day traffic assignment model (2009)Multiclass traffic assignment model for mixed traffic flow of human-driven vehicles and connected and autonomous vehicles (2019)Prospect Theory: An Analysis of Decision under Risk (1979)Choices, values, and frames. (1984)Prospect theory: An analysis of decision under risk (1988)Behavioural economics, travel behaviour and environmental-transport policy (2015)A cumulative prospect theory approach to commuters’ day-to-day route-choice modeling with friends’ travel information (2017)Cumulative prospect theory coupled with multi-attribute decision making for modeling travel behavior (2021)Fuzzy sets (1965)Fuzzy sets (1996)Prospect Theory and Choice Behaviour Strategies: Review and Synthesis of Concepts from Social and Transport sciences (2010)An application of cumulative prospect theory to freeway drivers’ route choice behaviours (2013)A novel urban congestion pricing scheme considering travel cost perception and level of service (2021)Extraordinary Sex Ratios (1967)Evolution and the Theory of Games (1988)Potential Games (1996)A new economic geography model of central places (2010)Distributed Population Dynamics: Optimization and Control Applications (2016)Learning in games with continuous action sets and unknown payoff functions (2018)Urban transportation networks: Equilibrium analysis with mathematical programming methods (1986)Advances in prospect theory: Cumulative representation of uncertainty (1992)The Probability Weighting Function (1998)A prospect-based user equilibrium model with endogenous reference points and its application in congestion pricing (2010)On the use and potential of behavioural economics from the perspective of transport and climate change (2012)Travel time reliability in transportation networks: A review of methodological developments (2022)Chapter 2 Computation of equilibria in finite games (1996)Computing correlated equilibria in multi-player games (2005)Negative Externalities and Evolutionary Implementation (2005)Prospect Theoretic Contributions in Understanding Traveller Behaviour: A Review and Some Comments (2010)Impacts of COVID-19 on tourists' destination preferences: Evidence from China (2021)
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References

  • 1994Day-To-Day Dynamic Network Disequilibria and Idealized Traveler Information Systems403 cited
  • 2009Stable games and their dynamics244 cited
  • 19516. SOLUTIONS OF GAMES BY DIFFERENTIAL EQUATIONS190 cited
  • 2009A network equilibrium model with travellers’ perception of stochastic travel times144 cited
  • 2008Dynamic commuter departure time choice under uncertainty97 cited
  • 2008Identification of Parameters for a Prospect Theory Model for Travel Choice Analysis88 cited
  • 2004Drivers' Mental Representation of Travel Time and Departure Time Choice in Uncertain Traffic Network Conditions69 cited

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