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PC–SPSA: Employing Dimensionality Reduction to Limit SPSA Search Noise in DTA Model Calibration
15 references·8 citing·29 second hop
PC–SPSA: Employing Dimensionality Reduction to Limit SPSA Search Noise in DTA Model Calibration (2019)PC–SPSA: Employing Dimensionality Reducti…Dynamic origin-destination matrix calibration for large-scale network simulators (2018)Dynamic origin-destination ma…Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design, demonstration and validation (2015)Towards a generic benchmarkin…An enhanced SPSA algorithm for the calibration of Dynamic Traffic Assignment models (2014)An enhanced SPSA algorithm fo…Estimation of Dynamic Origin–Destination Matrices Using Linear Assignment Matrix Approximations (2012)Estimation of Dynamic Origin–…Dynamic origin–destination estimation in congested networks: theoretical findings and implications in practice (2011)Dynamic origin–destination es…A gradient approximation approach for adjusting temporal origin–destination matrices (2010)A gradient approximation appr…Offline Calibration of Dynamic Traffic Assignment (2007)Offline Calibration of Dynami…Off-line calibration of Dynamic Traffic Assignment models (2006)Off-line calibration of Dynam…On-line calibration for dynamic traffic assignment (2004)On-line calibration for dynam…Incorporating Automated Vehicle Identification Data into Origin-Destination Estimation (2004)Incorporating Automated Vehic…Adaptive stochastic approximation by the simultaneous perturbation method (2000)Adaptive stochastic approxima…Implementation of the simultaneous perturbation algorithm for stochastic optimization (1998)Implementation of the simulta…An Overview of the Simultaneous Perturbation Method for Efficient Optimization (1998)An Overview of the Simultaneo…Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts (1993)Dynamic Estimators of Origin-…A GRADIENT APPROACH FOR THE O-D MATRIX ADJUSTMENT PROBLEM (1990)A GRADIENT APPROACH FOR THE O…Efficient calibration of high-dimensional dynamic OD matrix in metropolitan networks: combining dimensionality reduction and bagging-based metamodel (2025)Efficient calibration of high…A spectral clustering enabled SPSA algorithm for dynamic origin-destination demand matrix estimation (2025)A spectral clustering enabled…A two-stage stochastic programming approach for dynamic OD estimation using LBSN data (2023)A two-stage stochastic progra…A Bayesian Optimization Approach for Calibrating Large-Scale Activity-Based Transport Models (2023)A Bayesian Optimization Appro…Travel demand matrix estimation for strategic road traffic assignment models with strict capacity constraints and residual queues (2022)Travel demand matrix estimati…Dynamic demand estimation on large scale networks using Principal Component Analysis: The case of non-existent or irrelevant historical estimates (2022)Dynamic demand estimation on …Dynamic Origin-Destination Matrix Estimation with ICT Traffic Measurements using SPSA (2021)Dynamic Origin-Destination Ma…A Big Data Demand Estimation Model for Urban Congested Networks (2020)A Big Data Demand Estimation …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)Foundations of Dynamic Traffic Assignment: The Past, the Present and the Future (2001)Calibration and validation of a simulation-based dynamic traffic assignment model for a large-scale congested network (2018)A unified framework for estimating or updating origin/destination matrices from traffic counts (1988)Estimation and Prediction of Time-Dependent Origin-Destination Flows with a Stochastic Mapping to Path Flows and Link Flows (2002)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)Transportation Systems Engineering: Theory and Methods (2001)Dynamic origin–destination demand flow estimation under congested traffic conditions (2013)Updating origin–destination matrices with aggregated data of GPS traces (2016)Stochastic Estimation of the Maximum of a Regression Function (1952)Simulation-based optimal Bayesian experimental design for nonlinear systems (2012)Stochastic Approximation Methods for Constrained and Unconstrained Systems (1978)Acceleration of Stochastic Approximation by Averaging (1992)Stochastic approximation: invited paper (2003)Chapter 19 Gradient Estimation (2006)Simulation Optimization: A Review and Exploration in the New Era of Cloud Computing and Big Data (2015)Stochastic Approximation Algorithms and Applications (1998)A Review of Modern Computational Algorithms for Bayesian Optimal Design (2015)Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework (2019)A maximum likelihood model for estimating origin-destination matrices (1987)Optimal strategies: A new assignment model for transit networks (1989)The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies (2018)c-SPSA: Cluster-wise simultaneous perturbation stochastic approximation algorithm and its application to dynamic origin–destination matrix estimation (2015)
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References

  • 1998Implementation of the simultaneous perturbation algorithm for stochastic optimization797 cited
  • 1998An Overview of the Simultaneous Perturbation Method for Efficient Optimization435 cited
  • 2000Adaptive stochastic approximation by the simultaneous perturbation method425 cited
  • 1993Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts368 cited
  • 2014An enhanced SPSA algorithm for the calibration of Dynamic Traffic Assignment models135 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
  • 2006Off-line calibration of Dynamic Traffic Assignment models107 cited
  • 2007Offline Calibration of Dynamic Traffic Assignment102 cited
  • 1990A GRADIENT APPROACH FOR THE O-D MATRIX ADJUSTMENT PROBLEM94 cited
  • 2018Dynamic origin-destination matrix calibration for large-scale network simulators87 cited
  • 2004Incorporating Automated Vehicle Identification Data into Origin-Destination Estimation81 cited
  • 2012Estimation of Dynamic Origin–Destination Matrices Using Linear Assignment Matrix Approximations80 cited
  • 2011Dynamic origin–destination estimation in congested networks: theoretical findings and implications in practice

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66 cited
  • 2004On-line calibration for dynamic traffic assignment40 cited
  • Cited by

    • 2022Dynamic demand estimation on large scale networks using Principal Component Analysis: The case of non-existent or irrelevant historical estimates29 cited
    • 2023A Bayesian Optimization Approach for Calibrating Large-Scale Activity-Based Transport Models18 cited
    • 2023A two-stage stochastic programming approach for dynamic OD estimation using LBSN data14 cited
    • 2020A Big Data Demand Estimation Model for Urban Congested Networks9 cited
    • 2022Travel demand matrix estimation for strategic road traffic assignment models with strict capacity constraints and residual queues6 cited
    • 2025A spectral clustering enabled SPSA algorithm for dynamic origin-destination demand matrix estimation5 cited
    • 2025Efficient calibration of high-dimensional dynamic OD matrix in metropolitan networks: combining dimensionality reduction and bagging-based metamodel5 cited
    • 2021Dynamic Origin-Destination Matrix Estimation with ICT Traffic Measurements using SPSA5 cited