A Study of Data Acquisition and Analysis for Driver's Behaviour and Characteristics through Application of Smart Devices and Data Mining
Proceeding: The Third International Conference on Computer Science, Computer Engineering, and Education Technologies (CSCEET2016)Publication Date: 2016-09-19
Authors : Hideto Kubota; Masakazu Kyokane; Kazuaki Ando; Yoshiro Imai; Shin'ichi Masuda;
Page : 63-70
Keywords : Smart Phone; Visualization of Behaviour; Machine Learning;
Abstract
Recently, several kinds of smart devices are coming available at almost every environment. And Data mining becomes very much popular and useful for behavior analysis and decision making. In this study, we will apply some smart devices, data mining approach and visualization into treatment of driving characteristics. Data acquisition of driving characteristics has been achieved by means of smart devices, such as iPhone and Android device. And its data analysis has been executed together with simple SQL database and some kind of statistical data processing facilities. Now we will try to visualize driving characteristics and extract some useful information for drivers/ road managers through the above data acquisition and analysis.
Other Latest Articles
- Monitoring of events in SOA architecture for Real Time Financial Decision System
- A Diagnosis and Prescription System to Automatically Diagnose Pests
- Cluster Sampling for the Demand Side Management of Big Data
- Projects for Teaching Algorithmization in Primary Schools
- Education in Computational Science: Do Successful Examples Also Create Success in Education?
Last modified: 2016-09-20 23:51:22