2023
DOI: 10.15837/ijccc.2023.5.5317
|View full text |Cite
|
Sign up to set email alerts
|

Intelligent Model for Avoiding Road Accidents Using Artificial Neural Network

Manoj Kushwaha,
M.S. Abirami

Abstract: Accidents typically occurred on roads, resulting in significant societal losses. Road accidents are a worldwide issue that result in the loss of precious human lives and property. The purpose of this paper is to create an intelligent system-based on Machine Learning model for avoiding road accidents, as well as a system that effectively reduces road accidents severities. The Artificial Neural Network (ANN) algorithm, along with others such as Logistic Regression (LR), Decision Tree (DT), K-Nearest Neighbor (KN… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2
2

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 27 publications
0
1
0
Order By: Relevance
“…The interest in localization of autonomous mobile systems is a highly active research topic that has been facilitated by the developments in advanced mobile and communication technologies [12,17]. Computing the position and the orientation of an object is a key technology that can bring us a step closer to autonomous vehicles, enabling them to manage in an autonomous way traffic situations and signifficantly reduce the number of accidents [7,10]. Communication is also concerned with the placement of the used equipment, the localization problem being a requirement also for wireless sensor networks (WSNs) and vehicular ad hoc networks (VANETs), where position-based routing can improve packet delivery ratios, or communication delays and overheads [13,18].…”
Section: Introductionmentioning
confidence: 99%
“…The interest in localization of autonomous mobile systems is a highly active research topic that has been facilitated by the developments in advanced mobile and communication technologies [12,17]. Computing the position and the orientation of an object is a key technology that can bring us a step closer to autonomous vehicles, enabling them to manage in an autonomous way traffic situations and signifficantly reduce the number of accidents [7,10]. Communication is also concerned with the placement of the used equipment, the localization problem being a requirement also for wireless sensor networks (WSNs) and vehicular ad hoc networks (VANETs), where position-based routing can improve packet delivery ratios, or communication delays and overheads [13,18].…”
Section: Introductionmentioning
confidence: 99%