سیستم نظارت بر رانندگان و یک بستر آزمایش برای رانندگی ایمن
ترجمه نشده

سیستم نظارت بر رانندگان و یک بستر آزمایش برای رانندگی ایمن

عنوان فارسی مقاله: سیستم نظارت بر رانندگان مبتنی بر فازی (FDMS): پیاده سازی دو FDMS هوشمند و یک بستر آزمایش برای رانندگی ایمن در شبکه ادهاک وسایل نقلیه
عنوان انگلیسی مقاله: Fuzzy-based Driver Monitoring System (FDMS): Implementation of two intelligent FDMSs and a testbed for safe driving in VANETs
مجله/کنفرانس: نسل آینده سیستم های کامپیوتری - Future Generation Computer Systems
رشته های تحصیلی مرتبط: کامپیوتر، مهندسی فناوری اطلاعات
گرایش های تحصیلی مرتبط: محاسبات ابری، هوش مصنوعی، مهندسی نرم افزار، سامانه های شبکه ای، اینترنت و شبکه های گسترده، مدیریت سیستم های اطلاعات
کلمات کلیدی فارسی: شبکه ادهاک وسایل نقلیه، اینترنت اشیا، محاسبات مه، محاسبات لبه، منطق فازی، سیستم مدیریت اسناد
کلمات کلیدی انگلیسی: VANETs، IoT، Fog computing، Edge computing، Fuzzy logic، DMS
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus - Master Journals List - JCR
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.future.2019.12.030
دانشگاه: Graduate School of Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka, 811-0295, Japan
صفحات مقاله انگلیسی: 10
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2020
ایمپکت فاکتور: 7/007 در سال 2019
شاخص H_index: 93 در سال 2020
شاخص SJR: 0/835 در سال 2019
شناسه ISSN: 0167-739X
شاخص Quartile (چارک): Q1 در سال 2019
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E14341
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست مطالب (انگلیسی)

Abstract

1- Introduction

2- Background overview and related work

3- Proposed systems

4- Proposed system evaluation

5- Conclusions

References

بخشی از مقاله (انگلیسی)

Abstract

Vehicular Ad hoc Networks (VANETs) have gained a great attention due to the rapid development of mobile Internet and Internet of Things (IoT) applications. On the other hand, the competition in the automotive industry has turned into an unprecedented race to who will be the first to provide the fully autonomous cars. However, the fully autonomous driving is still a bit far from deployment, and for now, they are providing automation only at a certain level and, at the same time, are offering connected services through their mobility service platforms. With Fog and Edge computing integrated in VANETs, these mobility platforms will be standardized to provide services for every car on the road, which will help VANETs to accomplish one of its main goals, the road safety. In this paper, we propose an intelligent Fuzzy-based Driver Monitoring System (FDMS) for safe driving. We present and compare two fuzzy-based systems: FDMS1 and FDMS2. To make a decision, FDMS1 considers Vehicle’s Environment Temperature (VET), Noise Level (NL) and Heart Rate (HR). While, for FDMS2, we consider Respiratory Rate (RR) as a new parameter to decide Driver’s Situational Awareness (DSA). We evaluate the ability of the driver to safely operate the vehicle by monitoring his condition and subsequently, based on the system output, a smart box informs the driver and provides assistance. We show through simulations and experiments the effect of the considered parameters on the determination of the driver’s situation and demonstrate the actions that can be performed accordingly.

Introduction

Every year the lives of approximately 1.35 million people are cut short as a result of a road traffic accident. Between 20 and 50 million more people suffer non-fatal injuries, with many incurring a disability as a result of their injury [1]. For years, in order to improve the road safety, many governments have undertaken initiatives by launching Intelligent Transport Systems (ITSs). ITS is a new road and traffic system which combines state-of-the-art information, communication, and control technologies to properly create an information network based on people, vehicles and roads. As a key part of ITS, the Vehicular Ad hoc Networks (VANETs) not only aim to help reducing the traffic accidents but also to enhance the traffic efficiency and the travel comfort of passengers and drivers. In VANETs, vehicles have networking capabilities and they send/receive valuable information such as safety warnings and traffic information to/from adjacent vehicles and roadside units (RSUs) via vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2I) communication.