Abstract

A smart connected car in conjunction with the Internet of Things (IoT) is an emerging topic. The fundamental concept of the smart connected car is connectivity, and such connectivity can be provided by three aspects, such as Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and Vehicle-to-Everything (V2X). To meet the aspects of V2V and V2I connectivity, we developed modules in accordance with international standards with respect to On-Board Diagnostics II (OBDII) and 4G Long Term Evolution (4G-LTE) to obtain and transmit vehicle information. We also developed software to visually check information provided by our modules. Information related to a user’s driving, which is transmitted to a cloud-based Distributed File System (DFS), was then analyzed for the purpose of big data analysis to provide information on driving habits to users. Yet, since this work is an ongoing research project, we focus on proposing an idea of system architecture and design in terms of big data analysis. Therefore, our contributions through this work are as follows: (1) Develop modules based on Controller Area Network (CAN) bus, OBDII, and 4G-LTE; (2) Develop software to check vehicle information on a PC; (3) Implement a database related to vehicle diagnostic codes; (4) Propose system architecture and design for big data analysis.

Highlights

  • According to Klynveld Peat Marwick Goerdeler (KPMG)’s Global Automotive Executing Survey2016 [1], automotive trends are rapidly changing every year

  • IEEE 802.11p and Dedicated Short Range Communication (DSRC) in V2V communications are the most suitable for short-range connectivity, heterogeneous wireless technologies such as 3G, 4G Long Term Evolution (4G-LTE), IEEE 802.11, and IEEE 802.16e for long-range connectivity can be used for effective V2I communications [14]

  • On-Board Diagnostics (EOBD), GPS, a General Packet Radio Service (GPRS), and Universal usage as part of a Pay As You Drive (PAYD) insurance program used for the assessment of System (UMTS) to assess the risk associated with vehicle usage as part of insurance premiums

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Summary

Introduction

According to Klynveld Peat Marwick Goerdeler (KPMG)’s Global Automotive Executing Survey. Before discussing all the details, the first and most important thing readers should understand is a fundamental definition and concept of the smart connected car. The second connectivity type results from Controller Area Network computing capability [5]. The second connectivity type results from Controller Area Network (CAN). Vehicle-to-Everything (V2X), and connected cars; Section 3 proposes research directions and a architecture; Section 4 Section introduces newly developed bus and databus transmission with system architecture;. The first extracted concept is a CAN bus topology in which multiple ECUs communicate to each two different types of which are connected through the gateway shown in Figure below, i.e., other through CAN bus [11]. The second extracted concept is that there are two different types of high which speed CAN and low-speed are connected through the[10].

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TheAOverview of Vehicle-To-Vehicle
The concept ofOverview
The Overview of Vehicle-To-Everything
The Overview of Connected Cars
The Proposed Research Directions and System Architecture
Modules
System
Database Implementation implemented based on Microsoft
Proposing A Cloud-Based Distributed File System for Big Data Analysis
Google File System
Amazon Web Service
Microsoft Azure
Proposing Distributed File System Design
Conclusions
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