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Dynamic Origin-Destination Matrix Estimation with ICT Traffic Measurements using SPSA
The estimation of Origin to Destination (OD) matrices is still object of continuous research interest, but the complexity of the problem, the underdetermination of the problem, the many alternatives that it offers and the role that mobility patterns represented by ODs play in transport modelling, makes it an appealing research topic, namely in the domain of dynamic approaches. The availability of new traffic measurements, due to the pervasive penetration of ICT measurements offers new paths to explore. This paper provides an insight of what can be achieved when, in addition to link flow counts, travel times, coming from treated GPS traces, are considered in the formulation of the Dynamic Origin-Destination Matrix Estimation (DODME). The analysis is conducted with an extension of conventional SPSA and a new hybrid formulation combining analytical and non-analytical formulations.
Dynamic Origin-Destination Matrix Estimation with ICT Traffic Measurements using SPSA
The estimation of Origin to Destination (OD) matrices is still object of continuous research interest, but the complexity of the problem, the underdetermination of the problem, the many alternatives that it offers and the role that mobility patterns represented by ODs play in transport modelling, makes it an appealing research topic, namely in the domain of dynamic approaches. The availability of new traffic measurements, due to the pervasive penetration of ICT measurements offers new paths to explore. This paper provides an insight of what can be achieved when, in addition to link flow counts, travel times, coming from treated GPS traces, are considered in the formulation of the Dynamic Origin-Destination Matrix Estimation (DODME). The analysis is conducted with an extension of conventional SPSA and a new hybrid formulation combining analytical and non-analytical formulations.
Dynamic Origin-Destination Matrix Estimation with ICT Traffic Measurements using SPSA
Ros-Roca, Xavier (author) / Montero, Lidia (author) / Barcelo, Jaume (author) / Nokel, Klaus (author)
2021-06-16
8544753 byte
Conference paper
Electronic Resource
English
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