University of Twente Student Theses
Static Traffic Assignment with Queuing
Leeuwen, A.S. van (2011) Static Traffic Assignment with Queuing.
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| Abstract: | Traffic models are used to predict traffic flows and travel times on a road network. Due to the ever increasing level of congestion at highways and urban areas, the need for better results from those models also increases. On the other hand, these predictions should be available in a reasonable time such that the right action to avoid congestion can be taken quickly. Because of computation time issues, often static models instead of dynamic models are used. For realistic predictions a traffic model should be able to take capacity constraints into account, something that traditional static traffic assignment models cannot do directly. Besides that, queuing and spillback phenomena should also be taken care of. In this thesis, an overview is given of the static models and concepts in literature that in some way or another do account for capacity limitations and/or spillback effects. It is explained that all of these models still have drawbacks, and therefore a new static traffic assignment model is introduced. This new model is basically obtained in two successive steps. First the static variant of the dynamic network loading model LTM (Link Transmission Model) by Yperman (2007) is derived by assuming stationary traffic demand. After that, the STAQ (Static Traffic Assignment with Queuing) model is created by assuming instantaneous traffic flow propagation. In this model queues are constructed according to kinematic wave theory using the fundamental diagram, which gives the model a mathematical basis. Also spillback effects are accounted for. Therefore, the model is in theory superior to other static traffic assignment models, but empirical tests are needed to provide hard evidence. STAQ is currently in development at Goudappel Coffeng B.V. |
| Item Type: | Essay (Master) |
| Clients: | Goudappel Coffeng B.V. |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 31 mathematics |
| Programme: | Applied Mathematics MSc (60348) |
| Link to this item: | https://purl.utwente.nl/essays/61077 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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