The Driving Behavior Data Acquisition and Identification Based on Vehicle Bus Wuhan University of Technology

Format:

Conference/Event

Author/Creator:

Hu, Hu, author.

Contributor:

Cai, Jun

Li, Yehui

Lin, Feng

Qiao, Meiyun

Turkson, Richard

Conference Name:

SAE-TONGJI 2016 Driving Technology of Intelligent Vehicle Symposium (2016-09-22 : Shanghai, China)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2016

Summary:

AbstractThis 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

Notes:

Vendor supplied data

Publisher Number:

2016-01-1888

Access Restriction:

Restricted for use by site license