DocumentCode :
3585908
Title :
Intelligent road surface quality evaluation using rough mereology
Author :
Fouad, Mohamed Mostafa ; Mahmood, Mahmood A. ; Mahmoud, Hamdi ; Mohamed, Adham ; Ella Hassanien, Aboul
Author_Institution :
Arab Acad. for Sci., Technol. & Maritime Transp., Cairo, Egypt
fYear :
2014
Firstpage :
18
Lastpage :
22
Abstract :
The road surface condition information is very useful for the safety of road users and to inform road administrators for conducting appropriate maintenance. Roughness features of road surface; such as speed bumps and potholes, have bad effects on road users and their vehicles. Usually speed bumps are used to slow motor-vehicle traffic in specific areas in order to increase safety conditions. On the other hand driving over speed bumps at high speeds could cause accidents or be the reason for spinal injury. Therefore informing road users of the position of speed bumps through their journey on the road especially at night or when lighting is poor would be a valuable feature. This paper exploits a mobile sensor computing framework to monitor and assess road surface conditions. The framework measures the changes in the gravity orientation through a gyroscope and the shifts in the accelerometer´s indications, both as an assessment for the existence of speed bumps. The proposed classification approach used the theory of rough mereology to rank the modified data in order to make a useful recommendation to road users.
Keywords :
injuries; intelligent transportation systems; mobile computing; pattern classification; road accidents; road safety; road traffic; road vehicles; smart phones; traffic engineering computing; accelerometer indications; classification approach; driving; gravity orientation; gyroscope; intelligent road surface quality evaluation; intelligent transportation systems; maintenance; mobile sensor computing framework; motor-vehicle traffic; potholes; road accidents; road administrators; road journey; road surface condition information; road surface conditions assessment; road surface conditions monitoring; road users safety; road vehicles; rough mereology; roughness features; safety conditions; smartphones; speed bumps position; spinal injury; Gyroscopes; Mathematical model; Monitoring; Roads; Rough surfaces; Smart phones; Vehicles; Accelerometer; Gyroscope; Intelligent Transportation Systems; Road monitoring; Rough Inclusion; Rough Mereology; Smart-phones; Speed bump;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2014 14th International Conference on
Print_ISBN :
978-1-4799-7632-4
Type :
conf
DOI :
10.1109/HIS.2014.7086163
Filename :
7086163
Link To Document :
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