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371430

Enhancing Driver Safety Using an Intelligent Driver Assistance System

Article

Last updated: 25 Dec 2024

Subjects

-

Tags

Electrical Engineering

Abstract

In the modern era, one of the most significant challenges is the widespread occurrence of traffic accidents, which exacts a heavy toll on human lives and well-being. Annually, according to the National Highway Traffic Safety Administration, approximately 50 million people suffer injuries, and nearly 1.2 million lives are lost globally due to traffic incidents. Addressing this critical concern involves exploring the potential of automated technologies to mitigate these alarming statistics. Intelligent Driver Assistant Systems (IDAS) emerge as innovative solutions designed to combat the prevalence of traffic accidents. By integrating advanced warning systems and proactive interventions, IDAS effectively monitors driving conditions. It detects sudden decelerations of nearby vehicles, identifies unexpected obstacles, and recognizes erratic driver behavior through real-time data analysis. By providing timely alerts and interventions, IDAS acts as a crucial safety net for drivers, equipping them with essential information to anticipate and respond promptly to potential hazards, thereby significantly reducing the risks of accidents and improving overall road safety.

DOI

10.21608/ijisd.2024.298431.1069

Keywords

Adaptive Cruise Control (ACC), Blind Spot Detection (BSD), Driver Drowsiness Detection (DDD), Intelligent Driver Assistant System (IDAS), Lane Departure Warning (LDW)

Authors

First Name

Sherif

Last Name

Elsanadily

MiddleName

Ismail

Affiliation

Department of Electrical Engineering, The Egyptian Academy for Engineering and Advanced Technology (EAE&AT), Egypt

Email

sherif.elsanadily@eaeat.edu.eg

City

-

Orcid

0000-0003-4860-2636

First Name

Marwa

Last Name

Abdellatif

MiddleName

Gamal

Affiliation

Department of Electrical Engineering, The Egyptian Academy for Engineering and Advanced Technology (EAE&AT), Egypt

Email

maarwagamal77@gmail.com

City

-

Orcid

-

First Name

Mahmoud

Last Name

Osman

MiddleName

Khaled

Affiliation

Department of Electrical Engineering, The Egyptian Academy for Engineering and Advanced Technology (EAE&AT), Egypt

Email

mahmoudosman131131@gmail.com

City

-

Orcid

-

First Name

M.

Last Name

Elsherbini

MiddleName

M.

Affiliation

Department of Electrical Engineering, The Egyptian Academy for Engineering and Advanced Technology (EAE&AT), Egypt

Email

m.moustafa@eaeat-academy.edu.eg

City

Cairo

Orcid

0000-0003-0083-7831

First Name

A.

Last Name

Omara

MiddleName

N.

Affiliation

Computers and Systems Department, Electronics Research Institute (ERI), Egypt

Email

ahmed_omara@eri.sci.eg

City

-

Orcid

0000-0002-5022-5588

Volume

6

Article Issue

1

Related Issue

49555

Issue Date

2025-01-01

Receive Date

2024-06-21

Publish Date

2025-01-01

Page Start

22

Page End

42

Print ISSN

2682-3993

Online ISSN

2682-4000

Link

https://ijisd.journals.ekb.eg/article_371430.html

Detail API

https://ijisd.journals.ekb.eg/service?article_code=371430

Order

371,430

Type

Original Article

Type Code

1,141

Publication Type

Journal

Publication Title

International Journal of Industry and Sustainable Development

Publication Link

https://ijisd.journals.ekb.eg/

MainTitle

Enhancing Driver Safety Using an Intelligent Driver Assistance System

Details

Type

Article

Created At

25 Dec 2024