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Application of machine learning to characterize uneconomical managed lane choice behaviour
12 references·0 citing·41 second hop
Application of machine learning to characterize uneconomical managed lane choice behaviour (2019)Application of machine learning to charac…A comparative study of machine learning classifiers for modeling travel mode choice (2017)A comparative study of machin…Investigating preference heterogeneity in Value of Time (VOT) and Value of Reliability (VOR) estimation for managed lanes (2016)Investigating preference hete…Can psychological variables help predict the use of priced managed lanes? (2013)Can psychological variables h…Willingness to Pay for High-Occupancy Toll Lanes (2012)Willingness to Pay for High-O…Priced Managed Lane Guide (2012)Priced Managed Lane GuideDo Travelers Pay for Managed-Lane Travel as They Claimed They Would? (2012)Do Travelers Pay for Managed-…Reaction to the Managed Lane Concept by Various Groups of Travelers (2007)Reaction to the Managed Lane …Drivers’ willingness-to-pay to reduce travel time: evidence from the San Diego I-15 congestion pricing project (2003)Drivers’ willingness-to-pay t…Discrete Choice Methods with Simulation (2003)Discrete Choice Methods with …The value of time and reliability: measurement from a value pricing experiment (2001)The value of time and reliabi…Discrete Choice Methods with Simulation (2001)Discrete Choice Methods with …CONTINUATION STUDY TO EVALUATE THE IMPACTS OF THE SR 91 VALUE-PRICED EXPRESS LANES. FINAL REPORT (2000)CONTINUATION STUDY TO EVALUAT…The Estimation of Choice Probabilities from Choice Based Samples (1977)THE SCHEDULING OF CONSUMER ACTIVITIES: WORK TRIPS (1982)The valuation of reliability for personal travel (2001)Route choice modeling: past, present and future research directions (2009)Theoretical analysis on the variation of value of travel time savings (2004)Valuing time and reliability: assessing the evidence from road pricing demonstrations (2005)Users’ perceptions and willingness to pay in interurban toll roads: identifying differences across regions from a nationwide survey in Spain (2015)Dynamic road pricing and the value of time and reliability (2017)Discrete choice analysis: Theory and application to travel demand (1988)Urban transportation economics (1993)Transportation Research (2005)Can Psychological Questions Help Predict Managed Lane Use? (2014)Incorporating attitudinal aspects in roadway pricing analysis (2017)Psychological items: a useful addition in modeling travel behavior on managed lanes (2019)A Theory of the Allocation of Time (1965)Generalized expectancies for internal versus external control of reinforcement. (1966)The theory of planned behavior (1991)User preferences regarding autonomous vehicles (2017)Airline choice model for international round-trip flights: The role of travelers’ satisfaction and personality traits (2021)Justifying toll payment with biased travel time estimates: Behavioral findings and route choice modeling (2022)A Reliability-Based Stochastic Traffic Assignment Model for Network with Multiple User Classes under Uncertainty in Demand (2006)Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence (2010)Urban Transportation Economics (2013)Conditional logit analysis of qualitative choice behavior (1972)Specification Tests in Econometrics (1978)Stated Choice Methods (2000)Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles (2000)The Mixed Logit model: The state of practice (2003)Applied choice analysis a primer (2005)Data-driven planning of reliable itineraries in multi-modal transit networks (2019)Perceived comfort and values of travel time savings in the Rhône-Alpes Region (2019)Personalized Choice Model for Managed Lane Travel Behavior (2020)Discrete Choice Analysis: Theory and Application to Travel Demand (1987)Travel and the Built Environment (2010)Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis (2018)Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models (2020)The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations (2021)A latent class model for discrete choice analysis: contrasts with mixed logit (2003)Conducting Discrete Choice Experiments to Inform Healthcare Decision Making (2008)Uncovering the Distribution of Motorists' Preferences for Travel Time and Reliability (2005)Equity Effects of Road Pricing: A Review (2009)
this work references cited by second hop

References

  • 2001Discrete Choice Methods with Simulation7,927 cited
  • 2003Discrete Choice Methods with Simulation3,972 cited
  • 2001The value of time and reliability: measurement from a value pricing experiment571 cited
  • 2017A comparative study of machine learning classifiers for modeling travel mode choice448 cited
  • 2003Drivers’ willingness-to-pay to reduce travel time: evidence from the San Diego I-15 congestion pricing project267 cited
  • 2000CONTINUATION STUDY TO EVALUATE THE IMPACTS OF THE SR 91 VALUE-PRICED EXPRESS LANES. FINAL REPORT112 cited
  • 2012Willingness to Pay for High-Occupancy Toll Lanes39 cited
  • 2016Investigating preference heterogeneity in Value of Time (VOT) and Value of Reliability (VOR) estimation for managed lanes36 cited
  • 2013Can psychological variables help predict the use of priced managed lanes?31 cited
  • 2007Reaction to the Managed Lane Concept by Various Groups of Travelers21 cited
  • 2012Do Travelers Pay for Managed-Lane Travel as They Claimed They Would?20 cited
  • 2012Priced Managed Lane Guide18 cited

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