Enhancing Driver Safety Using an Intelligent Driver Assistance System | ||||
| International Journal of Industry and Sustainable Development | ||||
| Volume 6, Issue 1, January 2025, Page 22-42 PDF (1.69 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ijisd.2024.298431.1069 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Sherif Ismail Elsanadily 1; Marwa Gamal Abdellatif  1; Mahmoud Khaled Osman1; M. M. Elsherbini1; A. N. Omara2
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| 1Department of Electrical Engineering, The Egyptian Academy for Engineering and Advanced Technology (EAE&AT), Egypt | ||||
| 2Computers and Systems Department, Electronics Research Institute (ERI), Egypt | ||||
| 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. | ||||
| Keywords | ||||
| Adaptive Cruise Control (ACC); Blind Spot Detection (BSD); Driver Drowsiness Detection (DDD); Intelligent Driver Assistant System (IDAS); Lane Departure Warning (LDW) | ||||
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