ESTIMATION OF O-D FLOWS FROM TRAFFIC COUNT AND LICENSE-PLATE SURVEY INFORMATION
Itzhak Geva, Ezra Hauer, Uzi Landau
Abstract
Itzhak Geva, Ezra Hauer, Uzi Landau
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 o-d flow matrix. One of the common tasks of this type is the estimation of flows between the intersection approaches on a stretch of road. Estimation is based on intersection flow counts which are supplemented by a sample license-plate survey. In this paper a procedure is developed to obtain the most likely o-d flow estimates using both intersection counts and results of the sample license-plate survey. This procedure ensures that best use is made of available data. The procedure is illustrated in detail on the basis of a numerical example. An earlier paper reported a method of estimation which relies on intersection counts only and does not require the conduct of a sample license-plate survey. It is therefore important to examine how the estimation accuracy increases when the added information from the license-plate survey is used and in particular, how accuracy increases with sample size. This is done on the basis of empirical data for a road section in Toronto. (Author/TRRL)
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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 o-d flow matrix. One of the common tasks of this type is the estimation of flows between the intersection approaches on a stretch of road. Estimation is based on intersection flow counts which are supplemented by a sample license-plate survey. In this paper a procedure is developed to obtain the most likely o-d flow estimates using both intersection counts and results of the sample license-plate survey. This procedure ensures that best use is made of available data. The procedure is illustrated in detail on the basis of a numerical example. An earlier paper reported a method of estimation which relies on intersection counts only and does not require the conduct of a sample license-plate survey. It is therefore important to examine how the estimation accuracy increases when the added information from the license-plate survey is used and in particular, how accuracy increases with sample size. This is done on the basis of empirical data for a road section in Toronto. (Author/TRRL)
Key concepts: Intersection (aeronautics), License, Sample (material), Computer science, Traffic flow (computer networking), Estimation, Survey data collection, Basis (linear algebra)