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Simultaneous Departure Time/Route Choices in Queuing Networks and a Novel Paradox
16 references·4 citing·28 second hop
Simultaneous Departure Time/Route Choices in Queuing Networks and a Novel Paradox (2007)Simultaneous Departure Time/Route Choices…A cell-based simultaneous route and departure time choice model with elastic demand (2003)A cell-based simultaneous rou…Modeling and solving the dynamic user equilibrium route and departure time choice problem in network with queues (2002)Modeling and solving the dyna…A cell-based variational inequality formulation of the dynamic user optimal assignment problem (2002)A cell-based variational ineq…DynaMIT: a simulation-based system for traffic prediction (1998)DynaMIT: a simulation-based s…Sensitivity analysis for the elastic-demand network equilibrium problem with applications (1997)Sensitivity analysis for the …Braess' paradox: Some new insights (1997)Braess' paradox: Some new ins…THE ECONOMICS OF TRAFFIC CONGESTION (1993)THE ECONOMICS OF TRAFFIC CONG…A Variational Inequality Formulation of the Dynamic Network User Equilibrium Problem (1993)A Variational Inequality Form…Dynamic traffic assignment for urban road networks (1991)Dynamic traffic assignment fo…Dynamic Network Traffic Assignment Considered as a Continuous Time Optimal Control Problem (1989)Dynamic Network Traffic Assig…Optimal Time-Varying Flows on Congested Networks (1987)Optimal Time-Varying Flows on…THE SCHEDULING OF CONSUMER ACTIVITIES: WORK TRIPS (1982)THE SCHEDULING OF CONSUMER AC…Optimality Conditions for a Dynamic Traffic Assignment Model (1978)Optimality Conditions for a D…A Model and an Algorithm for the Dynamic Traffic Assignment Problems (1978)A Model and an Algorithm for …Unternehmensforschung (1973)UnternehmensforschungÜber ein Paradoxon aus der Verkehrsplanung (1968)Über ein Paradoxon aus der Ve…Bibliometric analysis and systematic literature review of the traffic paradoxes (1968–2022) (2023)Bibliometric analysis and sys…The Classical Braess Paradox Problem Revisited: A Generalized Inverse Method on Non-Unique Path Flow Cases (2015)The Classical Braess Paradox …Effects of queue spillover in networks considering simultaneous departure time and route choices (2013)Effects of queue spillover in…Dynamic and Static congestion models: A review (2010)Dynamic and Static congestion…An Algorithm for the Discrete Network Design Problem (1975)Operations Research -- An Introduction (1980)A day-to-day and within-day dynamic stochastic assignment model (1991)CONGESTION THEORY AND TRANSPORT INVESTMENT (1969)The existence, uniqueness and stability of traffic equilibria (1979)Traffic Equilibrium and Variational Inequalities (1980)Day-To-Day Dynamic Network Disequilibria and Idealized Traveler Information Systems (1994)Studies in the Economics of Transportation. (1956)Studies in the Economics of Transportation. (1957)An efficient approach to solving the road network equilibrium traffic assignment problem (1975)Sequential Logit Dynamic Travel Demand Model for Hurricane Evacuation (2004)Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications (2018)Urban transportation networks: Equilibrium analysis with mathematical programming methods (1986)Handbooks in operations research and management science (1989)The Traffic Assignment Problem: Models and Methods (1994)DYNAMIC TRAFFIC ASSIGNMENT: PROPERTIES AND EXTENSIONS (2006)Traffic assignment problem for a general network (1969)Robust optimization for emergency logistics planning: Risk mitigation in humanitarian relief supply chains (2010)Relationships between highway capacity and induced vehicle travel (2001)The positive utility of the commute: modeling ideal commute time and relative desired commute amount (2001)A review of the evidence for induced travel and changes in transportation and environmental policy in the US and the UK (2002)The Economics of Urban Transportation (2007)Trafficking Networks and the Mexican Drug War (2015)Selfish Routing and the Price of Anarchy (2016)Existence, Uniqueness, and Trip Cost Function Properties of User Equilibrium in the Bottleneck Model with Multiple User Classes (2004)Discrete Choice Methods and their Applications to Short Term Travel Decisions (1999)The valuation of reliability for personal travel (2001)A Linear Programming Model for the Single Destination System Optimum Dynamic Traffic Assignment Problem (2000)
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References

  • 1982THE SCHEDULING OF CONSUMER ACTIVITIES: WORK TRIPS1,083 cited
  • 1968Über ein Paradoxon aus der Verkehrsplanung975 cited
  • 1993A Variational Inequality Formulation of the Dynamic Network User Equilibrium Problem660 cited
  • 1978A Model and an Algorithm for the Dynamic Traffic Assignment Problems632 cited
  • 1989Dynamic Network Traffic Assignment Considered as a Continuous Time Optimal Control Problem424 cited
  • 1993THE ECONOMICS OF TRAFFIC CONGESTION424 cited
  • 1978Optimality Conditions for a Dynamic Traffic Assignment Model318 cited
  • 2002A cell-based variational inequality formulation of the dynamic user optimal assignment problem293 cited
  • 1991Dynamic traffic assignment for urban road networks288 cited
  • 2002Modeling and solving the dynamic user equilibrium route and departure time choice problem in network with queues273 cited
  • 1987Optimal Time-Varying Flows on Congested Networks246 cited
  • 1997Sensitivity analysis for the elastic-demand network equilibrium problem with applications214 cited
  • 1998DynaMIT: a simulation-based system for traffic prediction201 cited
  • 2003A cell-based simultaneous route and departure time choice model with elastic demand198 cited
  • 1973Unternehmensforschung

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186 cited
  • 1997Braess' paradox: Some new insights184 cited
  • Cited by

    • 2015The Classical Braess Paradox Problem Revisited: A Generalized Inverse Method on Non-Unique Path Flow Cases13 cited
    • 2010Dynamic and Static congestion models: A review11 cited
    • 2023Bibliometric analysis and systematic literature review of the traffic paradoxes (1968–2022)9 cited
    • 2013Effects of queue spillover in networks considering simultaneous departure time and route choices6 cited