The Driving Behavior Data Acquisition and Identification Based on Vehicle Bus 2016-01-1888
This research is based on the Controller Area Network (CAN) bus, and briefly analyzed its communication protocol with reference to the layered model of Open System Interconnect Reference Model (OSI). Subsequently, a data acquisition system was designed and developed including a Vehicle Communication Interface (VCI) and a laptop. After the overall architecture was built, the communication mechanism of the VCI was studied. Furthermore, the lap top app was built using the layered design followed by the implementation of a scheme for data collection and experimentation involving the test driving of a real car on road. Finally, the driving style was identified by means of fuzzy reasoning and solving ambiguity based on fuzzy theory; via training the acceleration sample and forecast using the excellent learning and generalization ability of Support Vector Machine (SVM) for high-dimensional, finite samples.
Citation: Hu, J., Li, Y., Cai, J., Turkson, R. et al., "The Driving Behavior Data Acquisition and Identification Based on Vehicle Bus," SAE Technical Paper 2016-01-1888, 2016, https://doi.org/10.4271/2016-01-1888. Download Citation
Author(s):
Jie Hu, Yehui Li, Jun Cai, Richard Turkson, Feng Lin, Meiyun Qiao
Affiliated:
Wuhan University of Technology, SAIC GM Wuling Automobile Co. Ltd.
Pages: 6
Event:
SAE-TONGJI 2016 Driving Technology of Intelligent Vehicle Symposium
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Data acquisition and handling
Communication protocols
Road tests
Vehicle acceleration
Architecture
Research and development
Education and training
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