International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 187 - Issue 7 |
Published: May 2025 |
Authors: Jagrati Rajput, R.K. Sharma |
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Jagrati Rajput, R.K. Sharma . MECHANISM OF DECISION-MAKING ABILITY IN PROTOTYPE VEHICLE USING ARTIFICIAL INTELLIGENCE. International Journal of Computer Applications. 187, 7 (May 2025), 36-41. DOI=10.5120/ijca2025924962
@article{ 10.5120/ijca2025924962, author = { Jagrati Rajput,R.K. Sharma }, title = { MECHANISM OF DECISION-MAKING ABILITY IN PROTOTYPE VEHICLE USING ARTIFICIAL INTELLIGENCE }, journal = { International Journal of Computer Applications }, year = { 2025 }, volume = { 187 }, number = { 7 }, pages = { 36-41 }, doi = { 10.5120/ijca2025924962 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2025 %A Jagrati Rajput %A R.K. Sharma %T MECHANISM OF DECISION-MAKING ABILITY IN PROTOTYPE VEHICLE USING ARTIFICIAL INTELLIGENCE%T %J International Journal of Computer Applications %V 187 %N 7 %P 36-41 %R 10.5120/ijca2025924962 %I Foundation of Computer Science (FCS), NY, USA
Modern days vehicle technology is based on decision making ability in a short time with a high accuracy. So, this research article is based on driver assistance system using artificial intelligence. The number of passenger vehicles is increasing day by day which brings ease in daily life, along with the comfort there are certain negative effects of the growing number of on-road cars, such as congestion, pollution, and accidents, which eventually have an impact on human’s social, economic, and environmental elements of life that must be overcome. Road accident is a common problem in the Indian road traffic environment, among which 40% of road accidents happen because of sleep-deprived drivers. The number of accidents due to the sleepiness of drivers can be hypothetically reduced by new technology in vehicles which attempts to improve safe driving. The technology is called advanced driver assistance systems (ADAS). This technology is based on three important parameters such a driver monitoring system (DMS) which monitors the driver’s attention, position, and movement of eyes, a driver drowsiness detection (DDD) which warns the driver of sleepiness or other distraction, and an automatic parking system (APS) which park the car in the leftmost lane of the road. These segmets will play a vital role to guard against risky driving where the driver is not doing any action.The simulation and physical model study has been done for a vehicle in three different phases like: to detect and avoid the obstacles in the path of the vehicle to conduct safe parking, to monitor the driver’s action and his motion while driving, and to alert the driver when the system detects the driver’s sleepiness.