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Multiple Uses of Big Data for Model Validation and Express Lanes Traffic Forecasts
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Multiple Uses of Big Data for Model Validation and Express Lanes Traffic Forecasts (2020)Multiple Uses of Big Data for Model Valid…Origin-Destination Trip Matrix Development: Conventional Methods versus Mobile Phone Data (2017)Origin-Destination Trip Matri…The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The promises of big data and …Study to Evaluate Express Toll Lanes on Florida’s Turnpike (2016)Study to Evaluate Express Tol…Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Origin–destination trips by p…Big Data: A Big Mistake? (2014)Big Data: A Big Mistake?Analytical Travel Forecasting Approaches for Project-Level Planning and Design (2014)Analytical Travel Forecasting…Deriving Operational Origin-Destination Matrices From Large Scale Mobile Phone Data (2013)Deriving Operational Origin-D…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Are call detail records biased for sampling human mobility? (2012)Are call detail records biase…The propagation of uncertainty through travel demand models: An exploratory analysis (2002)The propagation of uncertaint…An introduction to error analysis: the study of uncertainties in physical measurements (1997)An introduction to error anal…Understanding individual human mobility patterns (2008)Processing Raw Data from Global Positioning Systems without Additional Information (2009)Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Improving A Priori Demand Estimates Transport Models using Mobile Phone Data: A Rotterdam-Region Case (2018)Modelling long-distance route choice using mobile phone call detail record data: a case study of Senegal (2019)Revealing personal activities schedules from synthesizing multi-period origin-destination matrices (2020)Predicting Best with Imperfect Data (1968)Travel estimation techniques for urban planning (1998)Probabilistic Techniques in Exposure Assessment: A Handbook for Dealing with Variability and Uncertainty in Models and Inputs (1999)How (In)accurate Are Demand Forecasts in Public Works Projects?: The Case of Transportation (2005)Modeling impacts of adverse weather conditions on a road network with uncertainties in demand and supply (2008)The α-reliable mean-excess traffic equilibrium model with stochastic travel times (2009)Limits of Predictability in Human Mobility (2010)Modelling the scaling properties of human mobility (2010)Unravelling daily human mobility motifs (2013)Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Human mobility: Models and applications (2018)The origin of bursts and heavy tails in human dynamics (2005)Measuring Large-Scale Social Networks with High Resolution (2014)A survey of results on mobile phone datasets analysis (2015)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Geo-located Twitter as proxy for global mobility patterns (2014)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)The theory of planned behavior (1991)Applying mobile phone data to travel behaviour research: A literature review (2017)A survey of models and algorithms for optimizing shared mobility (2019)The role of administrative data in the big data revolution in social science research (2016)Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Forecasting: theory and practice (2022)A data driven method for OD matrix estimation (2019)Data to the people: a review of public and proprietary data for transport models (2021)Different methods are needed to propagate ignorance and variability (1996)The Correlation Coefficient: An Overview (2006)Street Centrality and Densities of Retail and Services in Bologna, Italy (2008)Daily long-term traffic flow forecasting based on a deep neural network (2018)Daily Traffic Flow Forecasting Through a Contextual Convolutional Recurrent Neural Network Modeling Inter- and Intra-Day Traffic Patterns (2020)Framework for designing sample travel surveys for transport demand modelling in cities (2021)
this work references cited by second hop

References

  • 1997An introduction to error analysis: the study of uncertainties in physical measurements2,247 cited
  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example659 cited
  • 2015Origin–destination trips by purpose and time of day inferred from mobile phone data656 cited
  • 2016The promises of big data and small data for travel behavior (aka human mobility) analysis609 cited
  • 2002The propagation of uncertainty through travel demand models: An exploratory analysis199 cited
  • 2014Big Data: A Big Mistake?175 cited
  • 2012Are call detail records biased for sampling human mobility?124 cited
  • 2017Origin-Destination Trip Matrix Development: Conventional Methods versus Mobile Phone Data49 cited
  • 2013Deriving Operational Origin-Destination Matrices From Large Scale Mobile Phone Data38 cited
  • 2014Analytical Travel Forecasting Approaches for Project-Level Planning and Design22 cited
  • 2016Study to Evaluate Express Toll Lanes on Florida’s Turnpike3 cited

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