Maximum-likelihood and Bayesian methods for the estimation of origin-destination flows.

Author(s)
Geva, I. Hauer, E. & Landau, U.
Year
Abstract

The design of traffic management schemes usually requires knowledge of the pattern of trips on the system under scrutiny. This pattern is ordinarily described by an origin-destination (O-D) flow matrix. One common task of this type of matrix is the estimation of flows between the intersection approaches on a stretch of road. Estimation is based on intersection flow counts that are supplemented by a license-plate survey. In this paper a procedure is developed to obtain the most likely O-D flow estimates by using both intersection counts and results of the license-plate survey. The procedure is described in detail on the basis of a numerical example. An earlier paper reported a method of estimation that relies on intersection counts only and does not require the conduct of a sample license-plate survey. An empirical examination is conducted to test how estimation accuracy increases when the added information from the license-plate survey is used. This examination reveals that when the supplementary license-plate survey is small, the maximum-likelihood method yields unsatisfactory estimates. This efficiency is rectified by the use of a Bayesian method. The resulting solution procedure is simple, and satisfactory estimates are produced. (A)

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Publication

Library number
C 11921 (In: C 11908 S) /72 /71 / IRRD 281564
Source

In: Transportation forecasting : analysis and quantitative methods, Transportation Research Record TRR 944, p. 101-105, 12 ref.

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