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A multiagent reinforcement learning approach to en-route trip building
9 references·3 citing·49 second hop
A multiagent reinforcement learning approach to en-route trip building (2016)A multiagent reinforcement learning appro…MATSim-T (2009)MATSim-TAligning social welfare and agent preferences to alleviate traffic congestion (2008)Aligning social welfare and a…Modelling drivers' compliance and route choice behaviour in response to travel information (2007)Modelling drivers' compliance…A Hybrid Model for Driver Route Choice Incorporating En-Route Attributes and Real-Time Information Effects (2005)A Hybrid Model for Driver Rou…Fuzzy route choice model for traffic assignment (2000)Fuzzy route choice model for …A predictive dynamic traffic assignment model in congested capacity-constrained road networks (2000)A predictive dynamic traffic …Worst-Case Equilibria (1999)Worst-Case EquilibriaModeling Dynamic Transportation Networks (1996)Modeling Dynamic Transportati…An efficient approach to solving the road network equilibrium traffic assignment problem (1975)An efficient approach to solv…Multi-Agent Reinforcement Learning for Dynamic Routing Games: A Unified Paradigm. (2020)Multi-Agent Reinforcement Lea…Experience Sharing in a Traffic Scenario. (2020)Experience Sharing in a Traff…Comparing Two Multiagent Reinforcement Learning Approaches for the Traffic Assignment Problem (2017)Comparing Two Multiagent Rein…Studies in the Economics of Transportation. (1956)Studies in the Economics of Transportation. (1957)On Stochastic Models of Traffic Assignment (1977)Network Design and Transportation Planning: Models and Algorithms (1984)Traffic Equilibrium and Variational Inequalities (1980)Network economics: a variational inequality approach (1994)The Traffic Assignment Problem: Models and Methods (1994)Housing Preferences in a Transitional Housing System: The Case of Beijing, China (2004)OPTIMAL TRANSIT ROUTE NETWORK DESIGN PROBLEM: ALGORITHMS, IMPLEMENTATIONS, AND NUMERICAL RESULTS (2004)Approximate network loading and dual-time-scale dynamic user equilibrium (2010)Fuzzy sets (1965)Urban transportation networks: Equilibrium analysis with mathematical programming methods (1986)Fuzzy sets (1996)Fuzzy preference based traffic assignment problem (2004)Traveller Behavior: Decision-Making in an Unpredictable World (2004)Random and fuzzy utility models for road route choice (2011)Dynamic network models and driver information systems (1991)A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice (2000)NETWORK KNOWLEDGE AND ROUTE CHOICE (2002)From user equilibrium to system optimum: a literature review on the role of travel information, bounded rationality and non-selfish behaviour at the network and individual levels (2016)A review of Machine Learning (ML) algorithms used for modeling travel mode choice (2019)Characterizing multicity urban traffic conditions using crowdsourced data (2019)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Using stated preference data for studying the effect of advanced traffic information on drivers' route choice (1997)Dynamics of commuting decision behaviour under advanced traveller information systems (1999)Adaptability of a Hybrid Route Choice Model to Incorporating Driver Behavior Dynamics Under Information Provision (2004)Examination of Multiple Mode/Route-Choice Paradigms Under ATIS (2006)A discounted recursive logit model for dynamic gridlock network analysis (2017)On the minority game: Analytical and numerical studiesIterative Combinatorial Auctions: Theory and Practice (2000)Social responsibility and supply chain relationships (2002)Towards a model for urban mobility social simulation (2012)Individual versus Difference Rewards on Reinforcement Learning for Route Choice (2014)CONGESTION THEORY AND TRANSPORT INVESTMENT (1969)A Structural Model of Peak-Period Congestion: A Traffic Bottleneck with Elastic Demand (1993)Observing the rhythms of daily life: A six-week travel diary (2002)Nash Equilibria and the Price of Anarchy for Flows over Time (2010)Modeling the impacts of public transport reliability and travel information on passengers’ waiting-time uncertainty (2014)Synthetic Population Generation at Disaggregated Spatial Scales for Land Use and Transportation Microsimulation (2014)Online convex programming and generalized infinitesimal gradient ascent (2003)Modelling Transport (2011)On the minimization of traffic congestion in road networks with tolls (2015)Uncertain Commuters Assignment Through Genetic Programming Hyper-Heuristic (2023)An Iterative Algorithm to Determine the Dynamic User Equilibrium in a Traffic Simulation Model (1998)A cell-based variational inequality formulation of the dynamic user optimal assignment problem (2002)A survey on networking games in telecommunications (2004)Algorithms, games, and the internet (2001)Multiagent systems: algorithmic, game-theoretic, and logical foundations (2009)The Price of Fairness (2011)
this work references cited by second hop

References

  • 1999Worst-Case Equilibria1,962 cited
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  • 1996Modeling Dynamic Transportation Networks310 cited
  • 2009MATSim-T224 cited
  • 2000A predictive dynamic traffic assignment model in congested capacity-constrained road networks129 cited
  • 2000Fuzzy route choice model for traffic assignment105 cited
  • 2007Modelling drivers' compliance and route choice behaviour in response to travel information84 cited
  • 2005A Hybrid Model for Driver Route Choice Incorporating En-Route Attributes and Real-Time Information Effects79 cited
  • 2008Aligning social welfare and agent preferences to alleviate traffic congestion38 cited

Cited by

  • 2017Comparing Two Multiagent Reinforcement Learning Approaches for the Traffic Assignment Problem15 cited
  • 2020Multi-Agent Reinforcement Learning for Dynamic Routing Games: A Unified Paradigm.7 cited
  • 2020Experience Sharing in a Traffic Scenario.5 cited

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