Title
S-road assist: Road surface conditions and driving behavior analysis using smartphones
Abstract
In developing countries road quality is not very good and deteriorates quickly, this makes a system which can detect road irregularities and notify user regarding risky driving in real-time, valuable. Moreover, fleet operators would like to ensure safe trips to their customers. This can be accomplished by tracking and maintaining a history of the driving patterns of the drivers employed by them. Further, individuals would also like to assess their driving style and become safe drivers. In this regard, a cost effective solution for detecting road artifacts as well as tracking the driving behavior of drivers using smartphones has been developed. The solution relies on the sensors installed on the smartphone only thereby making it cost effective. Although the system does not use commercial grade sensors, yet our accuracy numbers indicate that the solution is good enough for commercial deployment.
Year
DOI
Venue
2015
10.1109/ICCVE.2015.61
2015 International Conference on Connected Vehicles and Expo (ICCVE)
Keywords
Field
DocType
Road safety,driving analysis,road anomaly detection,crowdsourcing
Software deployment,Accelerometer,Transport engineering,Road surface,Global Positioning System,Engineering,TRIPS architecture
Conference
ISSN
Citations 
PageRank 
2378-1289
1
0.39
References 
Authors
14
6
Name
Order
Citations
PageRank
Harit Sharma110.72
Sulochan Naik210.72
Ankit Jain310.39
Ramya K. Raman410.39
Ravi Kanth Reddy510.72
Ravindra Balkrishna Shet610.39