Articlegreen2011

Estimation of origin-destination matrix from traffic counts: the state of the art

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Transportation Planning and Optimization Traffic control and management Traffic Prediction and Management Techniques

Abstract

The estimation of up-to-date origin-destination matrix (ODM) from an obsolete trip data, using current \navailable information is essential in transportation planning, traffic management and operations. \nResearchers from last 2 decades have explored various methods of estimating ODM using traffic count \ndata. There are two categories of ODM; static and dynamic ODM. This paper presents studies on both the \nissues of static and dynamic ODM estimation, the reliability measures of the estimated matrix and also \nthe issue of determining the set of traffic link count stations required to acquire maximum information to \nestimate a reliable matrix.

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References

1995Multinational Enterprises and the Global Economy.1996Globalization, Outsourcing, and Wage Inequality 1995Growing World Trade: Causes and Consequences 1980The most likely trip matrix estimated from traffic counts 1998Outsourcing of logistics functions: a literature survey 1984Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator 2006Modelling the full costs of an intermodal and road freight transport network 1983Inferences on trip matrices from observations on link volumes: A Bayesian statistical approach

Cited by

2018Calibration and validation of a simulation-based dynamic traffic assignment model for a large-scale congested network 2015Time-evolving O-D matrix estimation using high-speed GPS data streams 2018The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies 2020A novel approach for the structural comparison of origin-destination matrices: Levenshtein distance 2019Sensor location model for O/D estimation: Multi-criteria meta-heuristics approach

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