Design and Implementation of a CAN Data Analysis Test Bench based on Raspberry Pi

Abstract

I. INTRODUCTION Easy to use test bench for analysis of CAN communication is essential for performing experiments without the use of actual vehicles. This study focuses on developing a cost-effective test bench for studying CAN communication using an easily available card-sized minicomputer. In the systems where the specific data sources continuously sense the environment and transmit data to other components of the system. The CAN bus is one of such communication solutions. CAN is a widely-used communication protocol, originally developed for use in the automotive industry. However, its use is not only limited to use in automobiles. It provides high-speed serial communication in various domains such as manufacturing industry, medicine, and agriculture. The CAN protocol is a popular choice for such systems due to its safety, real-time capabilities, and the automatic control of access to the data bus. The CAN is a peer-to-peer network where there is no master node and the individual nodes can send and receive data through a can bus. With the highest speed of 1MB, CAN bus is a message-oriented protocol designed to operate at speeds from 20kb/s to 1Mb/s. CAN has built-in support for error detection and re-transmission of data. This paper is organized as follows: Section II briefly describes the CAN standard and the Raspberry Pi and PiCAN2 modules used in this study for CAN communication. Section III presents the overall design of the proposed test bench for analyzing response time. Section IV summarizes the experiments and observations. Finally, Section V concludes the paper. II. RELATED WORK Different techniques and hardware have been used to study CAN data. Meseguer et al. designed a platform for assisting drivers to ensure safe and economical driving style [1]. They developed an Android application to communicate with the CAN data scanner, ELM327, for accessing speed, acceleration and throttle position

Towards Prediction of Injuries in Traffic Accidents

“…This requires the design of an interface for data processing and semantic mapping. Sudarshan et al [10] utilize the Raspberry Pi and PiCan2 to interface the CAN bus of vehicles. The Raspberry Pi can perform simple computing and interpretation of the provided CAN-bus data in real-time and functions as an extendable hub.…”