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Estimation of origin–destination matrices using link counts and partial path data

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References

1986Urban transportation networks: Equilibrium analysis with mathematical programming methods2,352 cited
2002Estimation and Prediction of Time-Dependent Origin-Destination Flows with a Stochastic Mapping to Path Flows and Link Flows216 cited
2007Trip matrix and path flow reconstruction and estimation based on plate scanning and link observations210 cited
2006Dynamic Origin–Destination Demand Estimation Using Automatic Vehicle Identification Data203 cited
2011Estimation of origin-destination matrix from traffic counts: the state of the art153 cited
2004An approach to estimating and updating origin–destination matrices based upon traffic counts preserving the prior structure of a survey matrix103 cited
1990A GRADIENT APPROACH FOR THE O-D MATRIX ADJUSTMENT PROBLEM94 cited
2017Origin-Destination Estimation Using Probe Vehicle Trajectory and Link Counts91 cited
2012Local User Cost Equilibrium: a bush-based algorithm for traffic assignment88 cited
2011Estimation of origin–destination matrices from link counts and sporadic routing data88 cited
2000Origin-destination matrices estimation model using automatic vehicle identification data and its application to the Han-Shin expressway network73 cited
1982Selection of a trip table which reproduces observed link flows72 cited
2016Heterogeneous sensor location model for path reconstruction70 cited

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2016

Vehicle identification sensor models for origin–destination estimation

52 cited

2005Population Origin–Destination Estimation Using Automatic Vehicle Identification and Volume Data42 cited

2009Linear User Cost Equilibrium: The New Algorithm for Traffic Assignment in VISUM28 cited

Cited by

2023Time-dependent estimation of origin–destination matrices using partial path data and link counts17 cited
2020Methodology for O‐D matrix estimation using the revealed paths of floating car data on large‐scale networks13 cited
2023Flow count data-driven static traffic assignment models through network modularity partitioning9 cited
2023Sensor location models with reliable optimal solution for the observation of origin–destination matrix and route flows7 cited
2024Mining Multimodal Travel Mobilities with Big Ridership Data: Comparative Analysis of Subways and Taxis6 cited
2022Methods to enhance the quality of bi-level origin–destination matrix adjustment process3 cited