University of Twente Student Theses

Login

Bike lane quality estimation under variable speed conditions using off-the-shelf motion sensors

González-Novo López, F. (2022) Bike lane quality estimation under variable speed conditions using off-the-shelf motion sensors.

[img] PDF
2MB
Abstract:Traditional pavement maintenance programs are focused on the monitoring of motorized roadways. As a result, new monitoring techniques are required for non-motorized lanes. In this study, an investigation into road roughness detection using an off-the-shelf motion sensor has been conducted. Three different experiments were performed to find a surface roughness estimation technique independent of speed conditions. We selected distinct road surface types to determine how surface materials affect road quality. The results illustrated that when using the IRI standard formula, the roughness of roads decreases as speed increases. To reduce these impacts, a new method was proposed, which proved suitable for surface roughness estimation under variable speed conditions. After testing the system on roads with visible anomalies, we created thresholds of good road quality. All roughness values captured below 0.77 for asphalt roads and 1.27 for tile segments were considered to be from a good surface quality road. The findings of this study are expected to improve the maintenance of unmotorized paths while making bicycle use more safe, reliable, and comfortable.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:https://purl.utwente.nl/essays/91788
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page