Title :
A big data system design to predict the vehicle slip
Author :
Joohyoung Jeon;Woosik Lee;Hyo Joo Cho;Hongchul Lee
Author_Institution :
School of Industrial and Management Engineering, Korea University, Seoul, 136-713, Korea
Abstract :
In this paper, we propose a system storing sensor data generated from the vehicle using Big data system and analyzing real-time sensor output to predict the car slip. A large amount of data will be distributed and stored by MongoDB which is one of NoSQL Database, and analyzed to control the vehicle by Hadoop Map/Reduce. The proposed system can be applied to general vehicle and also to the field of driverless vehicle or driverless vehicle platooning.
Keywords :
"Robot sensing systems","Safety","Analytical models","Filtering algorithms","Accelerometers","Real-time systems","Computational modeling"
Conference_Titel :
Control, Automation and Systems (ICCAS), 2015 15th International Conference on
DOI :
10.1109/ICCAS.2015.7364987
