A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Community Sensor Network for Monitoring Road Roughness Using Smartphones
AbstractMaintenance of ever-expanding road networks all over the world is a critical task and regular monitoring of the road surface is imperative for successful maintenance. Existing monitoring techniques use dedicated vehicles equipped with sensors. Limited availability of these specialized vehicles makes regular monitoring very challenging. This paper explores a novel approach of empowering the smartphone user community for monitoring roads that they use. Smartphones are used for sensing the road surface conditions from a moving vehicle. The system involves client applications on smartphones that collect accelerations as the users travel on the roads, processing of the information and communication to a central server, georeference database, and visualization of road conditions on Google maps. In this paper, the fuzzy logic–based road surface roughness classification is proposed for monitoring the road roughness. The implementation has been demonstrated in different road networks at northern region of India. The experiment demonstrates the huge potential of user community participation in maintenance of road infrastructure.
Community Sensor Network for Monitoring Road Roughness Using Smartphones
AbstractMaintenance of ever-expanding road networks all over the world is a critical task and regular monitoring of the road surface is imperative for successful maintenance. Existing monitoring techniques use dedicated vehicles equipped with sensors. Limited availability of these specialized vehicles makes regular monitoring very challenging. This paper explores a novel approach of empowering the smartphone user community for monitoring roads that they use. Smartphones are used for sensing the road surface conditions from a moving vehicle. The system involves client applications on smartphones that collect accelerations as the users travel on the roads, processing of the information and communication to a central server, georeference database, and visualization of road conditions on Google maps. In this paper, the fuzzy logic–based road surface roughness classification is proposed for monitoring the road roughness. The implementation has been demonstrated in different road networks at northern region of India. The experiment demonstrates the huge potential of user community participation in maintenance of road infrastructure.
Community Sensor Network for Monitoring Road Roughness Using Smartphones
Kumar, Rajiv (author) / Mukherjee, Abhijit / Singh, V. P
2016
Article (Journal)
English
BKL:
56.03
/
56.03
Methoden im Bauingenieurwesen
Local classification TIB:
770/3130/6500
Community Sensor Network for Monitoring Road Roughness Using Smartphones
| British Library Online Contents | 2017
Community Sensor Network for Monitoring Road Roughness Using Smartphones
| Online Contents | 2017
Road Roughness Estimation Using Acceleration Data from Smartphones
| Springer Verlag | 2022
Study of the Factors Affecting Road Roughness Measurement Using Smartphones
| ASCE | 2020