REVIEW DIFFERENT METHODS FOR ESTIMATING THE ORIGIN-DESTINATION MATRIX

Reham Abdulsalam  Qasim; Noor Moutaz  Asmael

doi:10.30572/2018/KJE/160431

Authors

Reham Abdulsalam Qasim Highway and Transportation Engineering Department, College of Engineering, Mustansiriyah University, Baghdad, Iraq
Noor Moutaz Asmael Highway and Transportation Engineering Department, College of Engineering, Mustansiriyah University, Baghdad, Iraq

DOI:

https://doi.org/10.30572/2018/KJE/160431

Keywords:

Origin-destination matrix, Gravity model, Extended Kalman Filtering (EKF) algorithm, Bayesian approach, Fratar method, ITS

Abstract

In transportation planning and engineering projects, the process of calculating and estimating the origin-destination (O-D) matrix is very important, to understand how travel demand occurs within an urban area. In this review, some of the main methods and techniques used in origin-destination matrix estimation are summarized and explained, highlighting some of their objectives, applications, results, and sometimes their limitations. It should be noted that in each method of origin-destination matrix estimation, there are challenges, including issues related to the accuracy of data collection and complex calculations, as well as issues related to local standards. In short, it can be said that the process of origin-destination matrix estimation depends on the accuracy and availability of data. In the future, data collection techniques are expected to develop further and improve the accuracy of data collection, which is an important issue in the process of origin-destination matrix estimation

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