Efficient Methodology for Benchmarking Dynamic Origin–Destination Demand Estimation Methods
| Autor: | Tamara Djukic, J.W.C. van Lint, Serge P. Hoogendoorn |
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| Rok vydání: | 2011 |
| Předmět: | |
| Zdroj: | Transportation Research Record: Journal of the Transportation Research Board. 2263:35-44 |
| ISSN: | 2169-4052 0361-1981 |
| DOI: | 10.3141/2263-05 |
| Popis: | One of the key traffic variables required for the ex post and ex ante evaluation of traffic management and policy measures is origin–destination (O-D) demand matrices. Without ground truth O-D information, however, it is difficult, if not impossible, to assess the quality of an O-D estimation method because so many unknowns are involved. One indicator of the quality of an O-D estimation method is the sensitivity of the method to, and its robustness against, random and structural perturbations of the input from a few typical test networks (e.g., data from sensors, prior O-D matrices). In this paper, an assessment methodology is proposed on the basis of the Latin hypercube method, which is an efficient alternative to Monte Carlo sampling and particularly suited for high-dimensional estimation problems. The methodology is demonstrated on a real urban corridor network for a well-known O-D estimation method (the minimum information estimation method) to illustrate the results that can be obtained and how these results can be used to benchmark different O-D estimation methods. |
| Databáze: | OpenAIRE |
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