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Congestion tolls as utility alignment between agent and system optimum
5 references·3 citing·32 second hop
Congestion tolls as utility alignment between agent and system optimum (2006)Congestion tolls as utility alignment bet…The informational impacts of congestion tolls upon route traffic demands (2005)The informational impacts of …Case studies on the Braess Paradox: Simulating route recommendation and learning in abstract and microscopic models (2005)Case studies on the Braess Pa…Route Decision Behaviour in a Commuting Scenario: Simple Heuristics Adaptation and Effect of Traffic Forecast (2004)Route Decision Behaviour in a…Selection of information types based on personal utility (2003)Selection of information type…Does providing information to drivers reduce traffic congestion? (1991)Does providing information to…Selfish Yet Optimal Routing by Adjusting Perceived Traffic Information of Road Networks (2020)Selfish Yet Optimal Routing b…An agent-based approach for road pricing: system-level performance and implications for drivers (2014)An agent-based approach for r…A Multiagent Based Road Pricing Approach for Urban Traffic Management (2012)A Multiagent Based Road Prici…CONGESTION THEORY AND TRANSPORT INVESTMENT (1969)The Private and Social Value of Information and the Reward to Inventive Activity (1978)THE SCHEDULING OF CONSUMER ACTIVITIES: WORK TRIPS (1982)NETWORK KNOWLEDGE AND ROUTE CHOICE (2002)User equilibrium traffic network assignment with stochastic travel times and late arrival penalty (2005)Valuation of travel time (2012)Über ein Paradoxon aus der Verkehrsplanung (1968)THE ECONOMICS OF TRAFFIC CONGESTION (1993)Braess' paradox: Some new insights (1997)Aligning social welfare and agent preferences to alleviate traffic congestion (2008)Agent‐Based Modeling and Simulation (2012)Analysing the impact of travel information for minimising the regret of route choice (2018)Dynamic network models and driver information systems (1991)Effect of Using Route Information Sharing to Reduce Traffic Congestion (2004)Simulation Studies on Adaptive Route Decision and the Influence of Information on Commuter Scenarios (2004)Statement-based Cost Estimate for Co-utilization of Service Facilities (2014)Departure time and route choice for the morning commute (1990)Congestion management and electronic road pricing in Singapore (2002)Which road do I take? A learning-based model of route-choice behavior with real-time information (2010)Learning System-Efficient Equilibria in Route Choice Using Tolls (2018)Microeconomic Analysis. (1968)Essays in the Theory of Risk-Bearing. (1972)Quantifying Travel Time Variability in Transportation Networks (2010)Toll-based reinforcement learning for efficient equilibria in route choice (2020)Car ownership and commuting mode of the “original” residents in a high-density city center: A case study in Shanghai (2021)London Congestion Pricing – Implications for Other Cities (2005)Algorithmic Game Theory (2007)Nudge: improving decisions about health, wealth, and happiness (2008)Thinking, Fast and Slow (2011)Modelling a social dilemma of mode choice based on commuters’ expectations and social learning (2007)An experimental exploration of route choice: Identifying drivers choices and choice patterns, and capturing network evolution (2010)A Day‐to‐Day Route Choice Model Based on Reinforcement Learning (2014)
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References

  • 1991Does providing information to drivers reduce traffic congestion?386 cited
  • 2005Case studies on the Braess Paradox: Simulating route recommendation and learning in abstract and microscopic models60 cited
  • 2004Route Decision Behaviour in a Commuting Scenario: Simple Heuristics Adaptation and Effect of Traffic Forecast43 cited
  • 2005The informational impacts of congestion tolls upon route traffic demands23 cited
  • 2003Selection of information types based on personal utility19 cited

Cited by

  • 2014An agent-based approach for road pricing: system-level performance and implications for drivers9 cited
  • 2020Selfish Yet Optimal Routing by Adjusting Perceived Traffic Information of Road Networks6 cited
  • 2012A Multiagent Based Road Pricing Approach for Urban Traffic Management3 cited

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