University of Twente Student Theses
Smart traffic in a network
Hoogeslag, O.H.J. (2020) Smart traffic in a network.
|
PDF
2MB |
| Abstract: | Smart Traffic is an intelligent Traffic Control System that focuses on the local performance of an intersection. Due to predicting and taking into account traffic volumes, Smart Traffic can be seen as a more dynamic software compared to the current vehicle actuated controls. However, at this moment, Smart Traffic is not able to take into account the performance of the rest of the network. Cities would like to see that the dynamic characteristic can also be used to manage traffic on a network level. This transition means other parameters, perspectives and interests. In this thesis, there is looked at what is needed to transform Smart Traffic to a network level. In addition to the Dutch Rule-based approach (Landelijke Regelaanpak), the interests of the municipalities of Almelo and Amsterdam are considered. Two main points came up: Drawing up a Rule-based approach is labour intensive and complicated because different scenarios have to be written for all situations. With Smart Traffic, it would be more efficient to ease the work of the road manager. Next to this, they indicated that the spaces in the network could be utilized more efficiently. Designating buffer locations in a busy network is almost impossible, and a thing of the past. The Rule-based approach is a handbook, and sometimes the vision of the municipalities could differ from this handbook. Ultimately the municipality is the client of Sweco, the company with which this thesis was carried out. Therefore the vision of the municipalities of Almelo and Amsterdam is the main focus, which could help Sweco to make their product more in line with future demand. |
| Item Type: | Essay (Bachelor) |
| Faculty: | ET: Engineering Technology |
| Programme: | Civil Engineering BSc (56952) |
| Link to this item: | https://purl.utwente.nl/essays/85056 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page