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Effectiveness of the two-step dynamic demand estimation model on large networks
12 references·0 citing·43 second hop
Effectiveness of the two-step dynamic demand estimation model on large networks (2017)Effectiveness of the two-step dynamic dem…Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design, demonstration and validation (2015)Towards a generic benchmarkin…The path most traveled: Travel demand estimation using big data resources (2015)The path most traveled: Trave…A Two-Steps Dynamic Demand Estimation Approach Sequentially Adjusting Generations and Distributions (2015)A Two-Steps Dynamic Demand Es…A Markov chain dynamic model for trip generation and distribution based on CDR (2015)A Markov chain dynamic model …Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Real-Time Urban Monitoring Us…A gradient approximation approach for adjusting temporal origin–destination matrices (2010)A gradient approximation appr…A density-based dynamic OD estimation method that reproduces within-day congestion dynamics (2010)A density-based dynamic OD es…Updating Dynamic Origin-destination Matrices using Observed Link Travel Speed by Probe Vehicles (2009)Updating Dynamic Origin-desti…Off-Line and On-Line Calibration of Dynamic Traffic Assignment Systems (2009)Off-Line and On-Line Calibrat…Limits and perspectives of effective O–D matrix correction using traffic counts (2008)Limits and perspectives of ef…The Four-Step Model (2007)The Four-Step ModelDynamic Estimators of Origin-Destination Matrices Using Traffic Counts (1993)Dynamic Estimators of Origin-…The most likely trip matrix estimated from traffic counts (1980)Multivariate stochastic approximation using a simultaneous perturbation gradient approximation (1992)Models and algorithms for road network design: a review and some new developments (1998)Hierarchical travel demand estimation using multiple data sources: A forward and backward propagation algorithmic framework on a layered computational graph (2018)A data driven method for OD matrix estimation (2019)Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs (2020)A probabilistic multipath traffic assignment model which obviates path enumeration (1971)Inferences on trip matrices from observations on link volumes: A Bayesian statistical approach (1983)Methodology for O‐D matrix estimation using the revealed paths of floating car data on large‐scale networks (2020)Dynamic origin–destination flow estimation for urban road network solely using probe vehicle trajectory data (2023)Heuristic algorithms for the bilevel origin-destination matrix estimation problem (1995)Estimation and Prediction of Time-Dependent Origin-Destination Flows with a Stochastic Mapping to Path Flows and Link Flows (2002)Incorporating trip chaining within online demand estimation (2019)A Big Data Demand Estimation Model for Urban Congested Networks (2020)Data driven origin–destination matrix estimation on large networks—A joint origin–destination-path-choice formulation (2024)A unified framework for estimating or updating origin/destination matrices from traffic counts (1988)An Efficient Algorithm for Real-Time Estimation and Prediction of Dynamic OD Tables (2004)Dynamic Origin–Destination Demand Estimation Using Automatic Vehicle Identification Data (2006)Implementation of the simultaneous perturbation algorithm for stochastic optimization (1998)NETWORK KNOWLEDGE AND ROUTE CHOICE (2002)An Open GMNS Dataset of a Dynamic Multi-Modal Transportation Network Model of Melbourne, Australia (2021)Meta-heuristic aggregate calibration of transport models exploiting data collected in mobility (2023)On Stochastic Models of Traffic Assignment (1977)Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator (1984)Transportation Systems Engineering: Theory and Methods (2001)A network sensor location procedure accounting for o–d matrix estimate variability (2012)Stochastic travel demand estimation: Improving network identifiability using multi-day observation sets (2017)Origin–Destination Flow Estimation from Link Count Data Only (2020)An Overview of the Simultaneous Perturbation Method for Efficient Optimization (1998)Dynamic origin–destination demand flow estimation under congested traffic conditions (2013)Updating origin–destination matrices with aggregated data of GPS traces (2016)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)The TimeGeo modeling framework for urban mobility without travel surveys (2016)Understanding congested travel in urban areas (2016)Transit ridership forecasting at station level: an approach based on distance-decay weighted regression (2011)Application of geographically weighted regression to the direct forecasting of transit ridership at station-level (2012)Applying mobile phone data to travel behaviour research: A literature review (2017)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)A survey of results on mobile phone datasets analysis (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)
this work references cited by second hop

References

  • 2010Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome623 cited
  • 2007The Four-Step Model436 cited
  • 2015The path most traveled: Travel demand estimation using big data resources418 cited
  • 1993Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts368 cited
  • 2015Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design, demonstration and validation128 cited
  • 2010A gradient approximation approach for adjusting temporal origin–destination matrices123 cited
  • 2008Limits and perspectives of effective O–D matrix correction using traffic counts70 cited
  • 2009Updating Dynamic Origin-destination Matrices using Observed Link Travel Speed by Probe Vehicles17 cited
  • 2009Off-Line and On-Line Calibration of Dynamic Traffic Assignment Systems17 cited
  • 2015A Two-Steps Dynamic Demand Estimation Approach Sequentially Adjusting Generations and Distributions16 cited
  • 2015A Markov chain dynamic model for trip generation and distribution based on CDR13 cited
  • 2010A density-based dynamic OD estimation method that reproduces within-day congestion dynamics13 cited

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