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Exploring route choice behavior using geographic information system-based alternative routes and hypothetical travel time information input
1 references·15 citing·56 second hopsampled
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References

  • 1993Models Of Commuters' Information Use And Route Choice: Initial Results Based On A Southern California Commuter Route Choice Survey70 cited

Cited by

  • 2012Assessing the effects of stochastic perception error under travel time variability34 cited
  • 2006Modeling Stated and Revealed Route Choice: Consideration of Consistency, Diversion, and Attitudinal Variables27 cited
  • 2004Development and Calibration of Route Choice Utility Models: Factorial Experimental Design Approach22 cited
  • 2016Estimating freeway route travel time distributions with consideration to time‐of‐day, inclement weather, and traffic incidents20 cited
  • 2017Travel time reliability with boundedly rational travelers20 cited
  • 2013Punctuality-based departure time scheduling under stochastic bottleneck capacity: formulation and equilibrium19 cited
  • 2021Interpersonal and Intrapersonal Variabilities in Daily Activity-Travel Patterns: A Networked Spatiotemporal Analysis18 cited
  • 2020A target-oriented bi-attribute user equilibrium model with travelers’ perception errors on the tolled traffic network16 cited
  • 2017Cordon toll pricing in a multi-modal linear monocentric city with stochastic auto travel time16 cited
  • 2006GABRIEL: Gis Activity-Based tRavel sImuLator. Activity Scheduling in the Presence of Real-Time Information16 cited
  • 2007The Impact of Real‐Time Information on Choices During the Commute Trip: Evidence from a Travel Simulator8 cited
  • 2022

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A conservative expected travel time approach for traffic information dissemination under uncertainty
8 cited
  • 2022Route choice and parallel routes in subway Networks: A comparative analysis of Beijing and Shanghai7 cited
  • 2005Intelligent Transportation Systems and Travel Behavior in Connecticut7 cited
  • 2024Reliability and Unreliability Aspects of Travel Time Analysis on the Stochastic Network Using the Target-Oriented Perspective4 cited