Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design,demonstration and validation |
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Institution: | 1. NEC Laboratories Europe, Heidelberg 69115, Germany;2. LIAAD-INESC TEC, Porto 4200-465, Portugal;3. Dep. de Eng. Informática, Fac. de Engenharia, U. Porto, Porto 4200–465, Portugal;4. Instituto de Telecomunicações, Porto 4200-465, Portugal;5. Faculdade de Economia, U.Porto, 4200-465 Porto, Portugal;6. Dept de Ciência dos Computadores, Fac. de Ciências, U.Porto, 4200-465 Porto, Portugal;7. Geolink 4050-275 Porto, Portugal |
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Abstract: | Estimation/updating of Origin–Destination (OD) flows and other traffic state parameters is a classical, widely adopted procedure in transport engineering, both in off-line and in on-line contexts. Notwithstanding numerous approaches proposed in the literature, there is still room for considerable improvements, also leveraging the unprecedented opportunity offered by information and communication technologies and big data. A key issue relates to the unobservability of OD flows in real networks – except from closed highway systems – thus leading to inherent difficulties in measuring performance of OD flows estimation/updating methods and algorithms. Starting from these premises, the paper proposes a common evaluation and benchmarking framework, providing a synthetic test bed, which enables implementation and comparison of OD estimation/updating algorithms and methodologies under “standardized” conditions. The framework, implemented in a platform available to interested parties upon request, has been flexibly designed and allows comparing a variety of approaches under various settings and conditions. Specifically, the structure and the key features of the framework are presented, along with a detailed experimental design for the application of different dynamic OD flow estimation algorithms. By way of example, applications to both off-line/planning and on-line algorithms are presented, together with a demonstration of the extensibility of the presented framework to accommodate additional data sources. |
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Keywords: | Traffic modelling Origin–Destination (OD) estimation/updating Benchmarking platform Simulation-based DTA |
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