5SmartRoadSense is a crowdsensing project aimed at monitoring the conditions of the road surface. Using the sensors of a smartphone, SmartRoadSense monitors the vertical accelerations inside a vehicle traveling the road and extracts a roughness index conveying information about the road conditions. The roughness index and the smartphone GPS data are periodically sent to a central server where they are processed, associated with the specific road, and aggregated with data measured by other smartphones. This paper studies how the smartphone vertical accelerations and the roughness index are related to the vehicle speed. It is shown that the dependence can be locally approximated with a gamma (power) law. Extensive experimental results usin...
PDFTech ReportRC- 1621UMTRI-2015-192013-0068Surface course (Pavements)RoughnessAccelerometersSmartph...
Abstract-As we know that the navigation through road to unknown places is critical, in the same way,...
Data sets consists of data acquired by five smartphones: four serving as acceleration sensors and on...
SmartRoadSense is a crowdsensing project aimed at monitoring the conditions of the road surface. Usi...
SmartRoadSense is a crowdsensing project aimed at monitoring the conditions of the road surface. Usi...
4This work is part of a project, SmartRoadSense, aimed to estimate the quality of the road surface e...
The measurement of road roughness is important for asset management decision making. Not only is roa...
Measuring pavement roughness has been an important practice for transportation agencies for many yea...
Low-cost smartphone-based sensing approaches have recently emerged as an alternative to the traditio...
Raj Bridgelall is the program director for the Upper Great Plains Transportation Institute (UGPTI) C...
Pavement roughness is an expression of the unevenness or disturbance in a pavement surface that adve...
Condition assessment of pavement has a predominant part in delivering safety and comfort to users. R...
We propose, calibrate, and validate a crowdsourced approach for estimating power spectral density (P...
Smartphones are ubiquitous all over the world. As they are carried while travelling, their in-built ...
Raj Bridgelall is the program director for the Upper Great Plains Transportation Institute (UGPTI) C...
PDFTech ReportRC- 1621UMTRI-2015-192013-0068Surface course (Pavements)RoughnessAccelerometersSmartph...
Abstract-As we know that the navigation through road to unknown places is critical, in the same way,...
Data sets consists of data acquired by five smartphones: four serving as acceleration sensors and on...
SmartRoadSense is a crowdsensing project aimed at monitoring the conditions of the road surface. Usi...
SmartRoadSense is a crowdsensing project aimed at monitoring the conditions of the road surface. Usi...
4This work is part of a project, SmartRoadSense, aimed to estimate the quality of the road surface e...
The measurement of road roughness is important for asset management decision making. Not only is roa...
Measuring pavement roughness has been an important practice for transportation agencies for many yea...
Low-cost smartphone-based sensing approaches have recently emerged as an alternative to the traditio...
Raj Bridgelall is the program director for the Upper Great Plains Transportation Institute (UGPTI) C...
Pavement roughness is an expression of the unevenness or disturbance in a pavement surface that adve...
Condition assessment of pavement has a predominant part in delivering safety and comfort to users. R...
We propose, calibrate, and validate a crowdsourced approach for estimating power spectral density (P...
Smartphones are ubiquitous all over the world. As they are carried while travelling, their in-built ...
Raj Bridgelall is the program director for the Upper Great Plains Transportation Institute (UGPTI) C...
PDFTech ReportRC- 1621UMTRI-2015-192013-0068Surface course (Pavements)RoughnessAccelerometersSmartph...
Abstract-As we know that the navigation through road to unknown places is critical, in the same way,...
Data sets consists of data acquired by five smartphones: four serving as acceleration sensors and on...