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Incorporating Stochastic Road Capacity into Day-to-Day Traffic Simulation and Traveler Learning Framework
11 references·5 citing·46 second hop
Incorporating Stochastic Road Capacity into Day-to-Day Traffic Simulation and Traveler Learning Framework (2011)Incorporating Stochastic Road Capacity in…Valuing time and reliability: assessing the evidence from road pricing demonstrations (2005)Valuing time and reliability:…Travel Time Perception and Learning Mechanisms in Traffic Networks (2004)Travel Time Perception and Le…The value of time and reliability: measurement from a value pricing experiment (2001)The value of time and reliabi…Foundations of Dynamic Traffic Assignment: The Past, the Present and the Future (2001)Foundations of Dynamic Traffi…Simulating travel reliability (1998)Simulating travel reliabilityPerception updating and day-to-day travel choice dynamics in traffic networks with information provision (1998)Perception updating and day-t…Day-to-day evolution of network flows under real-time information and reactive signal control (1997)Day-to-day evolution of netwo…Models Of Commuters' Information Use And Route Choice: Initial Results Based On A Southern California Commuter Route Choice Survey (1993)Models Of Commuters' Informat…Developments in dynamic and activity-based approaches to travel analysis (1993)Developments in dynamic and a…Interactive Experiments for the Study of Trip maker Behaviour Dynamics in Congested Commuting Systems (1990)Interactive Experiments for t…A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)A BEHAVIORAL MODEL OF RATIONA…Improving Efficiency in Congested Traffic Networks: Pareto-Improving Reservations through Agent-Based Timetabling (2022)Improving Efficiency in Conge…Multi-scenario optimization approach for assessing the impacts of advanced traffic information under realistic stochastic capacity distributions (2017)Multi-scenario optimization a…Efficient frontier of route choice for modeling the equilibrium under travel time variability with heterogeneous traveler preferences (2017)Efficient frontier of route c…An advanced traveler navigation system adapted to route choice preferences of the individual users (2017)An advanced traveler navigati…Forecasting Model for Vehicular Demand: An Alternative Methodology in the Context of Developing Countries (2014)Forecasting Model for Vehicul…Studies in the Economics of Transportation. 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References

  • 1955A BEHAVIORAL MODEL OF RATIONAL CHOICE15,851 cited
  • 2001Foundations of Dynamic Traffic Assignment: The Past, the Present and the Future788 cited
  • 2001The value of time and reliability: measurement from a value pricing experiment571 cited
  • 2005Valuing time and reliability: assessing the evidence from road pricing demonstrations566 cited
  • 1993Developments in dynamic and activity-based approaches to travel analysis319 cited
  • 1998Simulating travel reliability187 cited
  • 1997Day-to-day evolution of network flows under real-time information and reactive signal control175 cited
  • 1998Perception updating and day-to-day travel choice dynamics in traffic networks with information provision168 cited
  • 2004Travel Time Perception and Learning Mechanisms in Traffic Networks91 cited
  • 1993Models Of Commuters' Information Use And Route Choice: Initial Results Based On A Southern California Commuter Route Choice Survey70 cited
  • 1990Interactive Experiments for the Study of Trip maker Behaviour Dynamics in Congested Commuting Systems54 cited

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  • 2017Multi-scenario optimization approach for assessing the impacts of advanced traffic information under realistic stochastic capacity distributions21 cited
  • 2017An advanced traveler navigation system adapted to route choice preferences of the individual users19 cited

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2017
Efficient frontier of route choice for modeling the equilibrium under travel time variability with heterogeneous traveler preferences
16 cited
  • 2014Forecasting Model for Vehicular Demand: An Alternative Methodology in the Context of Developing Countries11 cited
  • 2022Improving Efficiency in Congested Traffic Networks: Pareto-Improving Reservations through Agent-Based Timetabling8 cited